Udacity Data Scientist Nanodegree nd025 v1 | 058891D5ACC9D8D4680C1A9DDDB0BBFA2F0B8750

Udacity Data Scientist Nanodegree nd025 v1

Name	Udacity - Data Scientist Nanodegree nd025 v1.0.0	DOWNLOAD Copy Link
Total Size	8.4 GB
Total Files	8794
Hash	058891D5ACC9D8D4680C1A9DDDB0BBFA2F0B8750

/Part 12-Module 01-Lesson 03_Admissions Case Study/
02. Admissions 1-f3y_weFskL4.tr.vtt	0.1 KB
09. Aggregation 3-tPSj6_m-0_M.hr.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.zh-CN.vtt	0.1 KB
07. Aggregation-8j5hria6Rc8.zh-CN.vtt	0.1 KB
09. Aggregation 3-tPSj6_m-0_M.zh-CN.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.zh-Hans.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.hr.vtt	0.1 KB
07. Aggregation-8j5hria6Rc8.hr.vtt	0.1 KB
09. Aggregation 3-tPSj6_m-0_M.en.vtt	0.1 KB
05. Admissions 4-GD6cQhkoqS4.en.vtt	0.1 KB
05. Admissions 4-GD6cQhkoqS4.hr.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.hr.vtt	0.1 KB
09. Aggregation 3-tPSj6_m-0_M.it.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.ja.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.en.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.it.vtt	0.1 KB
09. Aggregation 3-tPSj6_m-0_M.ja.vtt	0.1 KB
07. Aggregation-8j5hria6Rc8.pt-BR.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.it.vtt	0.1 KB
09. Aggregation 3-tPSj6_m-0_M.pt-BR.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.pt-PT.vtt	0.1 KB
05. Admissions 4-GD6cQhkoqS4.it.vtt	0.1 KB
07. Aggregation-8j5hria6Rc8.it.vtt	0.1 KB
07. Aggregation-8j5hria6Rc8.ja.vtt	0.1 KB
07. Aggregation-8j5hria6Rc8.en.vtt	0.1 KB
05. Admissions 4-GD6cQhkoqS4.zh-CN.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.en.vtt	0.1 KB
05. Admissions 4-GD6cQhkoqS4.ar.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.pt-BR.vtt	0.1 KB
09. Aggregation 3-tPSj6_m-0_M.ar.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.ar.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.it.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.zh-CN.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.en.vtt	0.1 KB
03. Admissions 2-o91iPvtqt78.es-ES.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.hr.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.es-ES.vtt	0.1 KB
05. Admissions 4-GD6cQhkoqS4.ja.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.zh-Hans.vtt	0.1 KB
07. Aggregation-8j5hria6Rc8.ar.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.zh-CN.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.ar.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.pt-BR.vtt	0.1 KB
05. Admissions 4-GD6cQhkoqS4.pt-BR.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.ja.vtt	0.1 KB
02. Admissions 1-f3y_weFskL4.pt-BR.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.zh-Hans.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.es-ES.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.ar.vtt	0.1 KB
05. Admissions 4--GMhV1twy6Y.zh-CN.vtt	0.1 KB
04. Admissions 3-rDw0TIpwJ-c.ja.vtt	0.1 KB
05. Admissions 4--GMhV1twy6Y.zh-Hans.vtt	0.1 KB
08. Aggregation 2-xhpEqsHTf3g.zh-CN.vtt	0.1 KB
08. Aggregation 2-udXhxyls5Dw.ja.vtt	0.1 KB
05. Admissions 4--GMhV1twy6Y.en.vtt	0.1 KB
05. Admissions 4--GMhV1twy6Y.es-ES.vtt	0.1 KB
05. Admissions 4--GMhV1twy6Y.hr.vtt	0.1 KB
08. Aggregation 2-xhpEqsHTf3g.en.vtt	0.1 KB
05. Admissions 4--GMhV1twy6Y.pt-BR.vtt	0.1 KB
08. Aggregation 2-udXhxyls5Dw.hr.vtt	0.1 KB
08. Aggregation 2-udXhxyls5Dw.it.vtt	0.2 KB
05. Admissions 4--GMhV1twy6Y.ja.vtt	0.2 KB
08. Aggregation 2-udXhxyls5Dw.en.vtt	0.2 KB
08. Aggregation 2-udXhxyls5Dw.zh-CN.vtt	0.2 KB
08. Aggregation 2-xhpEqsHTf3g.ja.vtt	0.2 KB
08. Aggregation 2-xhpEqsHTf3g.hr.vtt	0.2 KB
08. Aggregation 2-udXhxyls5Dw.ar.vtt	0.2 KB
08. Aggregation 2-udXhxyls5Dw.pt-BR.vtt	0.2 KB
08. Aggregation 2-xhpEqsHTf3g.pt-BR.vtt	0.2 KB
05. Admissions 4--GMhV1twy6Y.it.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.zh-CN.vtt	0.2 KB
08. Aggregation 2-xhpEqsHTf3g.ar.vtt	0.2 KB
08. Aggregation 2-xhpEqsHTf3g.it.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.zh-Hans.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.en.vtt	0.2 KB
05. Admissions 4--GMhV1twy6Y.ar.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.it.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.ar.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.hr.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.pt-PT.vtt	0.2 KB
10. Gender Bias Revisited-4YY-hmqSz30.pt-BR.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.ja.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.pt-BR.vtt	0.2 KB
03. Admissions 2-pJrwiukN3Ls.es-ES.vtt	0.2 KB
10. Gender Bias Revisited-4YY-hmqSz30.zh-CN.vtt	0.2 KB
10. Gender Bias Revisited-4YY-hmqSz30.ja.vtt	0.2 KB
10. Gender Bias Revisited-4YY-hmqSz30.it.vtt	0.2 KB
10. Gender Bias Revisited-4YY-hmqSz30.en.vtt	0.2 KB
10. Gender Bias Revisited-4YY-hmqSz30.hr.vtt	0.3 KB
06. Gender Bias-DeWp0hnRq4g.zh-CN.vtt	0.3 KB
06. Gender Bias-DeWp0hnRq4g.pt-BR.vtt	0.3 KB
06. Gender Bias-DeWp0hnRq4g.en.vtt	0.3 KB
06. Gender Bias-DeWp0hnRq4g.hr.vtt	0.3 KB
06. Gender Bias-DeWp0hnRq4g.ja.vtt	0.3 KB
09. Aggregation 3-YkaVgZ-yFrM.zh-CN.vtt	0.3 KB
09. Aggregation 3-YkaVgZ-yFrM.ja.vtt	0.3 KB
09. Aggregation 3-YkaVgZ-yFrM.it.vtt	0.3 KB
06. Gender Bias-DeWp0hnRq4g.it.vtt	0.3 KB
10. Gender Bias Revisited-4YY-hmqSz30.ar.vtt	0.3 KB
09. Aggregation 3-YkaVgZ-yFrM.en.vtt	0.3 KB
09. Aggregation 3-YkaVgZ-yFrM.hr.vtt	0.3 KB
09. Aggregation 3-YkaVgZ-yFrM.pt-BR.vtt	0.3 KB
06. Gender Bias-JWl8lPGhlbY.zh-CN.vtt	0.4 KB
06. Gender Bias-DeWp0hnRq4g.ar.vtt	0.4 KB
09. Aggregation 3-YkaVgZ-yFrM.ar.vtt	0.4 KB
06. Gender Bias-JWl8lPGhlbY.hr.vtt	0.4 KB
06. Gender Bias-JWl8lPGhlbY.pt-BR.vtt	0.4 KB
06. Gender Bias-JWl8lPGhlbY.ja.vtt	0.5 KB
06. Gender Bias-JWl8lPGhlbY.en.vtt	0.5 KB
06. Gender Bias-JWl8lPGhlbY.it.vtt	0.5 KB
06. Gender Bias-JWl8lPGhlbY.ar.vtt	0.5 KB
04. Admissions 3-iKTYAsZLbhc.zh-CN.vtt	0.6 KB
01. Admissions Case Study Introduction-FGbxq1hQgtk.zh-CN.vtt	0.6 KB
01. Admissions Case Study Introduction-FGbxq1hQgtk.pt-BR.vtt	0.6 KB
04. Admissions 3-iKTYAsZLbhc.zh-Hans.vtt	0.6 KB
14. Conclusion-XiR_37bYA84.zh-CN.vtt	0.6 KB
04. Admissions 3-iKTYAsZLbhc.en.vtt	0.6 KB
04. Admissions 3-iKTYAsZLbhc.ja.vtt	0.6 KB
01. Admissions Case Study Introduction-FGbxq1hQgtk.en.vtt	0.7 KB
04. Admissions 3-iKTYAsZLbhc.hr.vtt	0.7 KB
04. Admissions 3-iKTYAsZLbhc.es-ES.vtt	0.7 KB
04. Admissions 3-iKTYAsZLbhc.it.vtt	0.7 KB
07. Aggregation-55eZrE82TqA.zh-CN.vtt	0.7 KB
14. Conclusion-XiR_37bYA84.en.vtt	0.7 KB
14. Conclusion-XiR_37bYA84.pt-BR.vtt	0.7 KB
04. Admissions 3-iKTYAsZLbhc.pt-BR.vtt	0.7 KB
11. Dangers Of Statistics-UYZXqP562qg.zh-CN.vtt	0.7 KB
07. Aggregation-55eZrE82TqA.ja.vtt	0.7 KB
04. Admissions 3-iKTYAsZLbhc.ar.vtt	0.7 KB
07. Aggregation-55eZrE82TqA.hr.vtt	0.7 KB
11. Dangers Of Statistics-UYZXqP562qg.en.vtt	0.8 KB
01. Admissions Case Study Introduction-FGbxq1hQgtk.ar.vtt	0.8 KB
07. Aggregation-55eZrE82TqA.pt-BR.vtt	0.8 KB
07. Aggregation-55eZrE82TqA.it.vtt	0.8 KB
07. Aggregation-55eZrE82TqA.en.vtt	0.8 KB
11. Dangers Of Statistics-UYZXqP562qg.pt-BR.vtt	0.8 KB
14. Conclusion-XiR_37bYA84.ar.vtt	0.9 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.zh-CN.vtt	1.0 KB
07. Aggregation-55eZrE82TqA.ar.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.hr.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.zh-CN.vtt	1.1 KB
11. Dangers Of Statistics-UYZXqP562qg.ar.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.ja.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.en.vtt	1.1 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.pt-BR.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.zh-Hans.vtt	1.1 KB
02. Admissions 1-CLgVLQAEYw8.it.vtt	1.1 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.hr.vtt	1.1 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.ja.vtt	1.2 KB
02. Admissions 1-CLgVLQAEYw8.tr.vtt	1.2 KB
02. Admissions 1-CLgVLQAEYw8.pt-PT.vtt	1.2 KB
02. Admissions 1-CLgVLQAEYw8.es-ES.vtt	1.2 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.en.vtt	1.2 KB
02. Admissions 1-CLgVLQAEYw8.pt-BR.vtt	1.3 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.it.vtt	1.3 KB
02. Admissions 1-CLgVLQAEYw8.ar.vtt	1.5 KB
10. Gender Bias Revisited-dOa4Cl0wM0s.ar.vtt	1.6 KB
index.html	4.5 KB
14. Conclusion.html	6.1 KB
11. Dangers of Statistics.html	6.2 KB
01. Admissions Case Study Introduction.html	6.3 KB
12. Text Recap + Next Steps.html	6.6 KB
07. Aggregation.html	8.1 KB
09. Aggregation 3.html	8.1 KB
08. Aggregation 2.html	8.1 KB
06. Gender Bias.html	8.2 KB
05. Admissions 4.html	8.3 KB
10. Gender Bias Revisited.html	8.4 KB
04. Admissions 3.html	8.6 KB
03. Admissions 2.html	8.7 KB
02. Admissions 1.html	9.0 KB
13. Case Study in Python.html	18.1 KB
09. Aggregation 3-tPSj6_m-0_M.mp4	225.6 KB
02. Admissions 1-f3y_weFskL4.mp4	330.8 KB
03. Admissions 2-o91iPvtqt78.mp4	347.4 KB
07. Aggregation-8j5hria6Rc8.mp4	458.7 KB
04. Admissions 3-rDw0TIpwJ-c.mp4	478.6 KB
05. Admissions 4--GMhV1twy6Y.mp4	535.6 KB
08. Aggregation 2-xhpEqsHTf3g.mp4	736.7 KB
08. Aggregation 2-udXhxyls5Dw.mp4	769.9 KB
05. Admissions 4-GD6cQhkoqS4.mp4	851.7 KB
03. Admissions 2-pJrwiukN3Ls.mp4	1.3 MB
10. Gender Bias Revisited-4YY-hmqSz30.mp4	1.3 MB
06. Gender Bias-DeWp0hnRq4g.mp4	1.6 MB
04. Admissions 3-iKTYAsZLbhc.mp4	1.6 MB
06. Gender Bias-JWl8lPGhlbY.mp4	1.9 MB
14. Conclusion-XiR_37bYA84.mp4	2.1 MB
01. Admissions Case Study Introduction-FGbxq1hQgtk.mp4	2.2 MB
09. Aggregation 3-YkaVgZ-yFrM.mp4	2.3 MB
11. Dangers Of Statistics-UYZXqP562qg.mp4	2.6 MB
07. Aggregation-55eZrE82TqA.mp4	4.9 MB
10. Gender Bias Revisited-dOa4Cl0wM0s.mp4	7.8 MB
02. Admissions 1-CLgVLQAEYw8.mp4	8.0 MB
/Part 12-Module 01-Lesson 07_Bayes Rule/
05. Normalizing 2--pOzdj6pnbA.zh-CN.vtt	0.1 KB
05. Normalizing 2--pOzdj6pnbA.en.vtt	0.1 KB
06. Normalizing 3-etrUbOAoh1U.zh-CN.vtt	0.1 KB
05. Normalizing 2--pOzdj6pnbA.it.vtt	0.1 KB
05. Normalizing 2--pOzdj6pnbA.ja.vtt	0.1 KB
05. Normalizing 2--pOzdj6pnbA.pt-BR.vtt	0.1 KB
06. Normalizing 3-etrUbOAoh1U.ja.vtt	0.1 KB
17. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt	0.1 KB
05. Normalizing 2--pOzdj6pnbA.ar.vtt	0.1 KB
17. Disease Test 4-ztkKTrMZHXg.en.vtt	0.1 KB
06. Normalizing 3-etrUbOAoh1U.it.vtt	0.1 KB
17. Disease Test 4-ztkKTrMZHXg.ar.vtt	0.1 KB
25. Robot Sensing 5-tIrqdYTT_9Q.en.vtt	0.1 KB
17. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt	0.1 KB
16. Disease Test 3-PfEYA6z-19w.pt-BR.vtt	0.1 KB
17. Disease Test 4-ztkKTrMZHXg.es-ES.vtt	0.1 KB
06. Normalizing 3-etrUbOAoh1U.en.vtt	0.1 KB
16. Disease Test 3-PfEYA6z-19w.en.vtt	0.1 KB
25. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt	0.1 KB
16. Disease Test 3-PfEYA6z-19w.es-ES.vtt	0.1 KB
27. Robot Sensing 7-clFL503NPyY.zh-CN.vtt	0.1 KB
27. Robot Sensing 7-clFL503NPyY.pt-BR.vtt	0.1 KB
25. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt	0.1 KB
06. Normalizing 3-etrUbOAoh1U.pt-BR.vtt	0.1 KB
05. Normalizing 2--pOzdj6pnbA.th.vtt	0.1 KB
06. Normalizing 3-etrUbOAoh1U.es-ES.vtt	0.1 KB
27. Robot Sensing 7-clFL503NPyY.en.vtt	0.1 KB
05. Normalizing 2--pOzdj6pnbA.es-ES.vtt	0.1 KB
18. Disease Test 5-4qW7a5E74No.en.vtt	0.1 KB
25. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt	0.1 KB
17. Disease Test 4-ztkKTrMZHXg.ja.vtt	0.1 KB
06. Normalizing 3-etrUbOAoh1U.ar.vtt	0.1 KB
18. Disease Test 5-4qW7a5E74No.zh-CN.vtt	0.1 KB
16. Disease Test 3-PfEYA6z-19w.zh-CN.vtt	0.1 KB
27. Robot Sensing 7-clFL503NPyY.ja.vtt	0.1 KB
17. Disease Test 4-UERKMwmkAsM.zh-CN.vtt	0.1 KB
25. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt	0.1 KB
27. Robot Sensing 7-clFL503NPyY.es-ES.vtt	0.1 KB
18. Disease Test 5-4qW7a5E74No.es-ES.vtt	0.1 KB
17. Disease Test 4-UERKMwmkAsM.en.vtt	0.1 KB
16. Disease Test 3-PfEYA6z-19w.ja.vtt	0.1 KB
18. Disease Test 5-4qW7a5E74No.pt-BR.vtt	0.1 KB
18. Disease Test 5-4qW7a5E74No.ar.vtt	0.1 KB
18. Disease Test 5-4qW7a5E74No.ja.vtt	0.1 KB
12. Normalizer-W5i-gRAvZxs.zh-CN.vtt	0.1 KB
17. Disease Test 4-UERKMwmkAsM.pt-BR.vtt	0.1 KB
25. Robot Sensing 5-tIrqdYTT_9Q.ja.vtt	0.1 KB
12. Normalizer-G9yQ_URDrDQ.pt-BR.vtt	0.1 KB
27. Robot Sensing 7-clFL503NPyY.ar.vtt	0.1 KB
17. Disease Test 4-UERKMwmkAsM.ja.vtt	0.1 KB
07. Total Probability-_hXCgF-aMB0.zh-CN.vtt	0.1 KB
12. Normalizer-G9yQ_URDrDQ.en.vtt	0.1 KB
16. Disease Test 3-PfEYA6z-19w.ar.vtt	0.1 KB
12. Normalizer-G9yQ_URDrDQ.zh-CN.vtt	0.1 KB
07. Total Probability-_hXCgF-aMB0.it.vtt	0.1 KB
17. Disease Test 4-UERKMwmkAsM.es-ES.vtt	0.1 KB
16. Disease Test 3-PfEYA6z-19w.th.vtt	0.1 KB
12. Normalizer-G9yQ_URDrDQ.ja.vtt	0.1 KB
12. Normalizer-W5i-gRAvZxs.ja.vtt	0.1 KB
06. Normalizing 3-etrUbOAoh1U.th.vtt	0.1 KB
12. Normalizer-W5i-gRAvZxs.en.vtt	0.1 KB
25. Robot Sensing 5-tIrqdYTT_9Q.th.vtt	0.1 KB
12. Normalizer-G9yQ_URDrDQ.es-ES.vtt	0.1 KB
07. Total Probability-_hXCgF-aMB0.en.vtt	0.1 KB
12. Normalizer-W5i-gRAvZxs.es-ES.vtt	0.1 KB
15. Disease Test 2-GsneDVJB75E.en.vtt	0.1 KB
07. Total Probability-_hXCgF-aMB0.ja.vtt	0.1 KB
07. Total Probability-_hXCgF-aMB0.es-ES.vtt	0.1 KB
12. Normalizer-G9yQ_URDrDQ.ar.vtt	0.1 KB
26. Robot Sensing 6-Se-ddM2Wdac.en.vtt	0.1 KB
15. Disease Test 2-GsneDVJB75E.pt-BR.vtt	0.1 KB
15. Disease Test 2-GsneDVJB75E.zh-CN.vtt	0.1 KB
26. Robot Sensing 6-Se-ddM2Wdac.zh-CN.vtt	0.1 KB
17. Disease Test 4-ztkKTrMZHXg.th.vtt	0.2 KB
10. Cancer Probabilities-7ZLe_JP5wRY.en.vtt	0.2 KB
27. Robot Sensing 7-goEMc0w58xM.en.vtt	0.2 KB
15. Disease Test 2-GsneDVJB75E.es-ES.vtt	0.2 KB
10. Cancer Probabilities-7ZLe_JP5wRY.ja.vtt	0.2 KB
26. Robot Sensing 6-Se-ddM2Wdac.pt-BR.vtt	0.2 KB
26. Robot Sensing 6-Se-ddM2Wdac.es-ES.vtt	0.2 KB
10. Cancer Probabilities-7ZLe_JP5wRY.zh-CN.vtt	0.2 KB
15. Disease Test 2-GsneDVJB75E.ar.vtt	0.2 KB
27. Robot Sensing 7-goEMc0w58xM.zh-CN.vtt	0.2 KB
18. Disease Test 5-4qW7a5E74No.th.vtt	0.2 KB
17. Disease Test 4-UERKMwmkAsM.ar.vtt	0.2 KB
12. Normalizer-W5i-gRAvZxs.pt-BR.vtt	0.2 KB
12. Normalizer-W5i-gRAvZxs.ar.vtt	0.2 KB
07. Total Probability-_hXCgF-aMB0.pt-BR.vtt	0.2 KB
10. Cancer Probabilities-7ZLe_JP5wRY.es-ES.vtt	0.2 KB
27. Robot Sensing 7-goEMc0w58xM.pt-BR.vtt	0.2 KB
10. Cancer Probabilities-7ZLe_JP5wRY.it.vtt	0.2 KB
27. Robot Sensing 7-goEMc0w58xM.es-ES.vtt	0.2 KB
27. Robot Sensing 7-goEMc0w58xM.ja.vtt	0.2 KB
26. Robot Sensing 6-Se-ddM2Wdac.ar.vtt	0.2 KB
07. Total Probability-_hXCgF-aMB0.ar.vtt	0.2 KB
26. Robot Sensing 6-Se-ddM2Wdac.ja.vtt	0.2 KB
27. Robot Sensing 7-clFL503NPyY.th.vtt	0.2 KB
15. Disease Test 2-GsneDVJB75E.th.vtt	0.2 KB
15. Disease Test 2-GsneDVJB75E.ja.vtt	0.2 KB
10. Cancer Probabilities-7ZLe_JP5wRY.ar.vtt	0.2 KB
06. Normalizing 3-V96RcbbVP7Q.zh-CN.vtt	0.2 KB
24. Robot Sensing 4-d_fbDqAGVdE.ja.vtt	0.2 KB
06. Normalizing 3-V96RcbbVP7Q.ja.vtt	0.2 KB
28. Robot Sensing 8-hyAQ28MYmc4.ja.vtt	0.2 KB
24. Robot Sensing 4-d_fbDqAGVdE.pt-BR.vtt	0.2 KB
17. Disease Test 4-UERKMwmkAsM.th.vtt	0.2 KB
24. Robot Sensing 4-d_fbDqAGVdE.zh-CN.vtt	0.2 KB
27. Robot Sensing 7-goEMc0w58xM.ar.vtt	0.2 KB
16. Disease Test 3-a61GPGk-Qy4.pt-BR.vtt	0.2 KB
24. Robot Sensing 4-d_fbDqAGVdE.en.vtt	0.2 KB
19. Disease Test 6-cdFrLeXIkZU.zh-CN.vtt	0.2 KB
16. Disease Test 3-a61GPGk-Qy4.en.vtt	0.2 KB
10. Cancer Probabilities-7ZLe_JP5wRY.pt-BR.vtt	0.2 KB
16. Disease Test 3-a61GPGk-Qy4.es-ES.vtt	0.2 KB
16. Disease Test 3-a61GPGk-Qy4.zh-CN.vtt	0.2 KB
06. Normalizing 3-V96RcbbVP7Q.en.vtt	0.2 KB
24. Robot Sensing 4-d_fbDqAGVdE.es-ES.vtt	0.2 KB
16. Disease Test 3-a61GPGk-Qy4.ar.vtt	0.2 KB
28. Robot Sensing 8-hyAQ28MYmc4.zh-CN.vtt	0.2 KB
06. Normalizing 3-V96RcbbVP7Q.it.vtt	0.2 KB
06. Normalizing 3-V96RcbbVP7Q.es-ES.vtt	0.2 KB
26. Robot Sensing 6-Se-ddM2Wdac.th.vtt	0.2 KB
07. Total Probability-_hXCgF-aMB0.th.vtt	0.2 KB
15. Disease Test 2-FQM7i07EqGo.zh-CN.vtt	0.2 KB
19. Disease Test 6-cdFrLeXIkZU.ja.vtt	0.2 KB
19. Disease Test 6-cdFrLeXIkZU.en.vtt	0.2 KB
28. Robot Sensing 8-hyAQ28MYmc4.es-ES.vtt	0.2 KB
27. Robot Sensing 7-goEMc0w58xM.th.vtt	0.2 KB
28. Robot Sensing 8-hyAQ28MYmc4.en.vtt	0.2 KB
28. Robot Sensing 8-hyAQ28MYmc4.pt-BR.vtt	0.2 KB
24. Robot Sensing 4-d_fbDqAGVdE.ar.vtt	0.3 KB
06. Normalizing 3-V96RcbbVP7Q.pt-BR.vtt	0.3 KB
19. Disease Test 6-cdFrLeXIkZU.es-ES.vtt	0.3 KB
15. Disease Test 2-FQM7i07EqGo.pt-BR.vtt	0.3 KB
15. Disease Test 2-FQM7i07EqGo.en.vtt	0.3 KB
19. Disease Test 6-cdFrLeXIkZU.pt-BR.vtt	0.3 KB
15. Disease Test 2-FQM7i07EqGo.es-ES.vtt	0.3 KB
23. Robot Sensing 3--6l4_oprDOk.zh-CN.vtt	0.3 KB
06. Normalizing 3-V96RcbbVP7Q.ar.vtt	0.3 KB
15. Disease Test 2-FQM7i07EqGo.ja.vtt	0.3 KB
07. Total Probability-fAaE5K9OZJc.zh-CN.vtt	0.3 KB
11. Probability Given Test-41HCYR-NW-w.zh-CN.vtt	0.3 KB
16. Disease Test 3-a61GPGk-Qy4.th.vtt	0.3 KB
16. Disease Test 3-a61GPGk-Qy4.ja.vtt	0.3 KB
04. Normalizing 1-9SbUxcyDTaQ.zh-CN.vtt	0.3 KB
07. Total Probability-fAaE5K9OZJc.en.vtt	0.3 KB
28. Robot Sensing 8-hyAQ28MYmc4.ar.vtt	0.3 KB
23. Robot Sensing 3--6l4_oprDOk.pt-BR.vtt	0.3 KB
13. Normalizing Probability-V_Gqm42WodI.zh-CN.vtt	0.3 KB
23. Robot Sensing 3--6l4_oprDOk.en.vtt	0.3 KB
07. Total Probability-fAaE5K9OZJc.it.vtt	0.3 KB
15. Disease Test 2-FQM7i07EqGo.ar.vtt	0.3 KB
26. Robot Sensing 6-hXyXlk0gYzk.ja.vtt	0.3 KB
23. Robot Sensing 3--6l4_oprDOk.ja.vtt	0.3 KB
23. Robot Sensing 3--6l4_oprDOk.es-ES.vtt	0.3 KB
26. Robot Sensing 6-hXyXlk0gYzk.pt-BR.vtt	0.3 KB
26. Robot Sensing 6-hXyXlk0gYzk.zh-CN.vtt	0.3 KB
13. Normalizing Probability-V_Gqm42WodI.ja.vtt	0.3 KB
07. Total Probability-fAaE5K9OZJc.es-ES.vtt	0.3 KB
04. Normalizing 1-9SbUxcyDTaQ.en.vtt	0.3 KB
03. Prior And Posterior-GlmS_jox08s.es-ES.vtt	0.3 KB
03. Prior And Posterior-GlmS_jox08s.it.vtt	0.3 KB
06. Normalizing 3-V96RcbbVP7Q.th.vtt	0.3 KB
19. Disease Test 6-cdFrLeXIkZU.ar.vtt	0.3 KB
26. Robot Sensing 6-hXyXlk0gYzk.en.vtt	0.3 KB
07. Total Probability-fAaE5K9OZJc.ja.vtt	0.3 KB
04. Normalizing 1-9SbUxcyDTaQ.es-ES.vtt	0.3 KB
26. Robot Sensing 6-hXyXlk0gYzk.es-ES.vtt	0.3 KB
11. Probability Given Test-41HCYR-NW-w.ja.vtt	0.4 KB
03. Prior And Posterior-GlmS_jox08s.en.vtt	0.4 KB
13. Normalizing Probability-V_Gqm42WodI.en.vtt	0.4 KB
04. Normalizing 1-9SbUxcyDTaQ.ja.vtt	0.4 KB
03. Prior And Posterior-GlmS_jox08s.zh-CN.vtt	0.4 KB
04. Normalizing 1-5Tbd3_a5Vug.zh-CN.vtt	0.4 KB
22. Robot Sensing 2-t22oDruXhuo.zh-CN.vtt	0.4 KB
11. Probability Given Test-41HCYR-NW-w.en.vtt	0.4 KB
04. Normalizing 1-9SbUxcyDTaQ.it.vtt	0.4 KB
04. Normalizing 1-5Tbd3_a5Vug.ja.vtt	0.4 KB
13. Normalizing Probability-V_Gqm42WodI.es-ES.vtt	0.4 KB
07. Total Probability-fAaE5K9OZJc.pt-BR.vtt	0.4 KB
28. Robot Sensing 8-hyAQ28MYmc4.th.vtt	0.4 KB
23. Robot Sensing 3--6l4_oprDOk.ar.vtt	0.4 KB
25. Robot Sensing 5-PGG9agooCvw.ja.vtt	0.4 KB
15. Disease Test 2-FQM7i07EqGo.th.vtt	0.4 KB
07. Total Probability-fAaE5K9OZJc.ar.vtt	0.4 KB
10. Cancer Probabilities-CMQBKuYjPBM.zh-CN.vtt	0.4 KB
25. Robot Sensing 5-PGG9agooCvw.pt-BR.vtt	0.4 KB
11. Probability Given Test-41HCYR-NW-w.es-ES.vtt	0.4 KB
25. Robot Sensing 5-PGG9agooCvw.en.vtt	0.4 KB
04. Normalizing 1-9SbUxcyDTaQ.pt-BR.vtt	0.4 KB
03. Prior And Posterior-GlmS_jox08s.ja.vtt	0.4 KB
10. Cancer Probabilities-CMQBKuYjPBM.ja.vtt	0.4 KB
25. Robot Sensing 5-PGG9agooCvw.zh-CN.vtt	0.4 KB
04. Normalizing 1-5Tbd3_a5Vug.en.vtt	0.4 KB
22. Robot Sensing 2-t22oDruXhuo.en.vtt	0.4 KB
22. Robot Sensing 2-t22oDruXhuo.ja.vtt	0.4 KB
18. Disease Test 5-nUxwwMNKIYo.zh-CN.vtt	0.4 KB
03. Prior And Posterior-GlmS_jox08s.pt-BR.vtt	0.4 KB
13. Normalizing Probability-V_Gqm42WodI.pt-BR.vtt	0.4 KB
19. Disease Test 6-cdFrLeXIkZU.th.vtt	0.4 KB
25. Robot Sensing 5-PGG9agooCvw.es-ES.vtt	0.5 KB
04. Normalizing 1-5Tbd3_a5Vug.it.vtt	0.5 KB
10. Cancer Probabilities-CMQBKuYjPBM.en.vtt	0.5 KB
04. Normalizing 1-5Tbd3_a5Vug.es-ES.vtt	0.5 KB
26. Robot Sensing 6-hXyXlk0gYzk.ar.vtt	0.5 KB
10. Cancer Probabilities-CMQBKuYjPBM.it.vtt	0.5 KB
37. Bayes Rule Conclusion-vlfDGCD8w0s.zh-CN.vtt	0.5 KB
04. Normalizing 1-9SbUxcyDTaQ.ar.vtt	0.5 KB
18. Disease Test 5-nUxwwMNKIYo.en.vtt	0.5 KB
18. Disease Test 5-nUxwwMNKIYo.es-ES.vtt	0.5 KB
10. Cancer Probabilities-CMQBKuYjPBM.es-ES.vtt	0.5 KB
22. Robot Sensing 2-t22oDruXhuo.pt-BR.vtt	0.5 KB
22. Robot Sensing 2-t22oDruXhuo.es-ES.vtt	0.5 KB
23. Robot Sensing 3--6l4_oprDOk.th.vtt	0.5 KB
13. Normalizing Probability-V_Gqm42WodI.ar.vtt	0.5 KB
28. Robot Sensing 8-lmuonrQp_lM.zh-CN.vtt	0.5 KB
04. Normalizing 1-5Tbd3_a5Vug.pt-BR.vtt	0.5 KB
28. Robot Sensing 8-lmuonrQp_lM.pt-BR.vtt	0.5 KB
11. Probability Given Test-41HCYR-NW-w.pt-BR.vtt	0.5 KB
03. Prior And Posterior-GlmS_jox08s.ar.vtt	0.5 KB
21. Robot Sensing 1--TBAfU1cjRU.zh-CN.vtt	0.5 KB
10. Cancer Probabilities-CMQBKuYjPBM.pt-BR.vtt	0.5 KB
11. Probability Given Test-41HCYR-NW-w.ar.vtt	0.5 KB
28. Robot Sensing 8-lmuonrQp_lM.en.vtt	0.5 KB
18. Disease Test 5-nUxwwMNKIYo.ja.vtt	0.5 KB
37. Bayes Rule Conclusion-vlfDGCD8w0s.en.vtt	0.5 KB
28. Robot Sensing 8-lmuonrQp_lM.es-ES.vtt	0.5 KB
21. Robot Sensing 1--TBAfU1cjRU.en.vtt	0.5 KB
28. Robot Sensing 8-lmuonrQp_lM.ja.vtt	0.5 KB
25. Robot Sensing 5-PGG9agooCvw.ar.vtt	0.5 KB
05. Normalizing 2-WYA5Zbf8HC4.zh-CN.vtt	0.6 KB
26. Robot Sensing 6-hXyXlk0gYzk.th.vtt	0.6 KB
21. Robot Sensing 1--TBAfU1cjRU.ja.vtt	0.6 KB
21. Robot Sensing 1--TBAfU1cjRU.es-ES.vtt	0.6 KB
04. Normalizing 1-5Tbd3_a5Vug.ar.vtt	0.6 KB
14. Disease Test 1-05upwXtARuo.zh-CN.vtt	0.6 KB
37. Bayes Rule Conclusion-vlfDGCD8w0s.pt-BR.vtt	0.6 KB
07. Total Probability-fAaE5K9OZJc.th.vtt	0.6 KB
22. Robot Sensing 2-t22oDruXhuo.ar.vtt	0.6 KB
11. Probability Given Test-omC0zbJyzUY.zh-CN.vtt	0.6 KB
10. Cancer Probabilities-CMQBKuYjPBM.ar.vtt	0.6 KB
05. Normalizing 2-WYA5Zbf8HC4.ja.vtt	0.6 KB
18. Disease Test 5-nUxwwMNKIYo.pt-BR.vtt	0.6 KB
14. Disease Test 1-05upwXtARuo.ja.vtt	0.6 KB
23. Robot Sensing 3-m1LSU9SPZ2k.zh-CN.vtt	0.6 KB
28. Robot Sensing 8-lmuonrQp_lM.ar.vtt	0.6 KB
01. Bayes Rules-CohZnkZMOxE.zh-CN.vtt	0.6 KB
14. Disease Test 1-05upwXtARuo.en.vtt	0.6 KB
05. Normalizing 2-WYA5Zbf8HC4.en.vtt	0.6 KB
04. Normalizing 1-5Tbd3_a5Vug.th.vtt	0.7 KB
23. Robot Sensing 3-m1LSU9SPZ2k.ja.vtt	0.7 KB
23. Robot Sensing 3-m1LSU9SPZ2k.en.vtt	0.7 KB
25. Robot Sensing 5-PGG9agooCvw.th.vtt	0.7 KB
18. Disease Test 5-nUxwwMNKIYo.ar.vtt	0.7 KB
19. Disease Test 6-OdVAt79eQak.zh-CN.vtt	0.7 KB
23. Robot Sensing 3-m1LSU9SPZ2k.es-ES.vtt	0.7 KB
14. Disease Test 1-05upwXtARuo.es-ES.vtt	0.7 KB
14. Disease Test 1-05upwXtARuo.pt-BR.vtt	0.7 KB
05. Normalizing 2-WYA5Zbf8HC4.es-ES.vtt	0.7 KB
14. Disease Test 1-qDGSvvabN18.es-ES.vtt	0.7 KB
23. Robot Sensing 3-m1LSU9SPZ2k.pt-BR.vtt	0.7 KB
01. Bayes Rules-CohZnkZMOxE.pt-BR.vtt	0.7 KB
04. Normalizing 1-9SbUxcyDTaQ.th.vtt	0.7 KB
14. Disease Test 1-qDGSvvabN18.zh-CN.vtt	0.7 KB
05. Normalizing 2-WYA5Zbf8HC4.it.vtt	0.7 KB
01. Bayes Rules-CohZnkZMOxE.en.vtt	0.7 KB
11. Probability Given Test-omC0zbJyzUY.ja.vtt	0.7 KB
13. Normalizing Probability-V_Gqm42WodI.th.vtt	0.7 KB
14. Disease Test 1-qDGSvvabN18.ja.vtt	0.7 KB
37. Bayes Rule Conclusion-vlfDGCD8w0s.ar.vtt	0.7 KB
14. Disease Test 1-qDGSvvabN18.en.vtt	0.7 KB
21. Robot Sensing 1--TBAfU1cjRU.pt-BR.vtt	0.7 KB
01. Bayes Rules-CohZnkZMOxE.es-ES.vtt	0.7 KB
14. Disease Test 1-qDGSvvabN18.pt-BR.vtt	0.8 KB
11. Probability Given Test-omC0zbJyzUY.es-ES.vtt	0.8 KB
01. Bayes Rules-CohZnkZMOxE.it.vtt	0.8 KB
03. Prior And Posterior-GlmS_jox08s.th.vtt	0.8 KB
05. Normalizing 2-WYA5Zbf8HC4.pt-BR.vtt	0.8 KB
19. Disease Test 6-OdVAt79eQak.en.vtt	0.8 KB
19. Disease Test 6-OdVAt79eQak.es-ES.vtt	0.8 KB
18. Disease Test 5-nUxwwMNKIYo.th.vtt	0.8 KB
23. Robot Sensing 3-m1LSU9SPZ2k.ar.vtt	0.8 KB
11. Probability Given Test-omC0zbJyzUY.en.vtt	0.8 KB
28. Robot Sensing 8-lmuonrQp_lM.en-GB.vtt	0.8 KB
19. Disease Test 6-OdVAt79eQak.ja.vtt	0.8 KB
14. Disease Test 1-05upwXtARuo.ar.vtt	0.8 KB
21. Robot Sensing 1--TBAfU1cjRU.ar.vtt	0.8 KB
22. Robot Sensing 2-aBBmlnd7okQ.ja.vtt	0.8 KB
10. Cancer Probabilities-CMQBKuYjPBM.en-GB.vtt	0.9 KB
33. Bayes' Rule and Robotics-meNSO42JF6I.zh-CN.vtt	0.9 KB
01. Bayes Rules-CohZnkZMOxE.ar.vtt	0.9 KB
22. Robot Sensing 2-aBBmlnd7okQ.zh-CN.vtt	0.9 KB
11. Probability Given Test-omC0zbJyzUY.pt-BR.vtt	0.9 KB
01. Bayes Rules-CohZnkZMOxE.ja.vtt	0.9 KB
05. Normalizing 2-WYA5Zbf8HC4.ar.vtt	0.9 KB
21. Robot Sensing 1--TBAfU1cjRU.th.vtt	0.9 KB
30. Sebastian At Home-TtmQ7YCw_1Y.zh-CN.vtt	0.9 KB
19. Disease Test 6-OdVAt79eQak.pt-BR.vtt	0.9 KB
22. Robot Sensing 2-aBBmlnd7okQ.pt-BR.vtt	0.9 KB
22. Robot Sensing 2-aBBmlnd7okQ.en.vtt	1.0 KB
13. Normalizing Probability-yYqN9Mf4jqw.zh-CN.vtt	1.0 KB
14. Disease Test 1-qDGSvvabN18.ar.vtt	1.0 KB
22. Robot Sensing 2-aBBmlnd7okQ.es-ES.vtt	1.0 KB
02. Cancer Test-FnNveASivMA.zh-CN.vtt	1.0 KB
33. Bayes' Rule and Robotics-meNSO42JF6I.en.vtt	1.0 KB
11. Probability Given Test-omC0zbJyzUY.ar.vtt	1.0 KB
09. Equivalent Diagram-aUFWZ2uJuBE.zh-CN.vtt	1.0 KB
02. Cancer Test-FnNveASivMA.pt-BR.vtt	1.0 KB
02. Cancer Test-FnNveASivMA.ja.vtt	1.0 KB
01. Bayes Rules-CohZnkZMOxE.th.vtt	1.0 KB
30. Sebastian At Home-TtmQ7YCw_1Y.en.vtt	1.1 KB
02. Cancer Test-FnNveASivMA.en.vtt	1.1 KB
02. Cancer Test-FnNveASivMA.es-ES.vtt	1.1 KB
19. Disease Test 6-OdVAt79eQak.ar.vtt	1.1 KB
09. Equivalent Diagram-aUFWZ2uJuBE.ja.vtt	1.1 KB
02. Cancer Test-FnNveASivMA.it.vtt	1.1 KB
05. Normalizing 2-WYA5Zbf8HC4.th.vtt	1.1 KB
22. Robot Sensing 2-aBBmlnd7okQ.ar.vtt	1.1 KB
13. Normalizing Probability-yYqN9Mf4jqw.en.vtt	1.1 KB
30. Sebastian At Home-TtmQ7YCw_1Y.ja.vtt	1.2 KB
33. Bayes' Rule and Robotics-meNSO42JF6I.pt-BR.vtt	1.2 KB
30. Sebastian At Home-TtmQ7YCw_1Y.es-ES.vtt	1.2 KB
09. Equivalent Diagram-aUFWZ2uJuBE.en.vtt	1.2 KB
14. Disease Test 1-05upwXtARuo.th.vtt	1.2 KB
13. Normalizing Probability-yYqN9Mf4jqw.ja.vtt	1.2 KB
29. Generalizing-SdMk3aROgSc.zh-CN.vtt	1.2 KB
09. Equivalent Diagram-aUFWZ2uJuBE.es-ES.vtt	1.2 KB
14. Disease Test 1-qDGSvvabN18.th.vtt	1.2 KB
09. Equivalent Diagram-aUFWZ2uJuBE.it.vtt	1.2 KB
29. Generalizing-SdMk3aROgSc.ja.vtt	1.2 KB
30. Sebastian At Home-R4zq6mPPMxs.zh-CN.vtt	1.2 KB
13. Normalizing Probability-yYqN9Mf4jqw.es-ES.vtt	1.3 KB
32. Reducing Uncertainty-zuFMhmKQ--o.zh-CN.vtt	1.3 KB
29. Generalizing-SdMk3aROgSc.en.vtt	1.3 KB
19. Disease Test 6-OdVAt79eQak.en-GB.vtt	1.3 KB
33. Bayes' Rule and Robotics-meNSO42JF6I.ar.vtt	1.3 KB
09. Equivalent Diagram-aUFWZ2uJuBE.pt-BR.vtt	1.3 KB
30. Sebastian At Home-TtmQ7YCw_1Y.pt-BR.vtt	1.3 KB
21. Robot Sensing 1-_DjfTytro6I.zh-CN.vtt	1.3 KB
29. Generalizing-SdMk3aROgSc.es-ES.vtt	1.4 KB
02. Cancer Test-FnNveASivMA.ar.vtt	1.4 KB
29. Generalizing-SdMk3aROgSc.pt-BR.vtt	1.4 KB
13. Normalizing Probability-yYqN9Mf4jqw.pt-BR.vtt	1.4 KB
21. Robot Sensing 1-_DjfTytro6I.ja.vtt	1.4 KB
35. Using Sensor Data-vhl-SADfti8.zh-CN.vtt	1.4 KB
21. Robot Sensing 1-_DjfTytro6I.en.vtt	1.5 KB
09. Equivalent Diagram-aUFWZ2uJuBE.ar.vtt	1.5 KB
30. Sebastian At Home-R4zq6mPPMxs.en.vtt	1.5 KB
30. Sebastian At Home-R4zq6mPPMxs.es-ES.vtt	1.5 KB
30. Sebastian At Home-R4zq6mPPMxs.ja.vtt	1.5 KB
32. Reducing Uncertainty-zuFMhmKQ--o.en.vtt	1.5 KB
32. Reducing Uncertainty-zuFMhmKQ--o.pt-BR.vtt	1.5 KB
30. Sebastian At Home-TtmQ7YCw_1Y.ar.vtt	1.6 KB
24. Robot Sensing 4-vasdN2Gol0M.ja.vtt	1.6 KB
21. Robot Sensing 1-_DjfTytro6I.es-ES.vtt	1.6 KB
24. Robot Sensing 4-vasdN2Gol0M.zh-CN.vtt	1.6 KB
24. Robot Sensing 4-vasdN2Gol0M.pt-BR.vtt	1.6 KB
35. Using Sensor Data-vhl-SADfti8.en.vtt	1.6 KB
13. Normalizing Probability-yYqN9Mf4jqw.ar.vtt	1.6 KB
24. Robot Sensing 4-vasdN2Gol0M.en.vtt	1.7 KB
24. Robot Sensing 4-vasdN2Gol0M.es-ES.vtt	1.7 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.zh-CN.vtt	1.7 KB
29. Generalizing-SdMk3aROgSc.ar.vtt	1.8 KB
30. Sebastian At Home-R4zq6mPPMxs.pt-BR.vtt	1.8 KB
21. Robot Sensing 1-_DjfTytro6I.pt-BR.vtt	1.8 KB
35. Using Sensor Data-vhl-SADfti8.pt-BR.vtt	1.9 KB
32. Reducing Uncertainty-zuFMhmKQ--o.ar.vtt	1.9 KB
30. Sebastian At Home-R4zq6mPPMxs.ar.vtt	1.9 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.en.vtt	2.0 KB
09. Equivalent Diagram-aUFWZ2uJuBE.en-GB.vtt	2.0 KB
02. Cancer Test-FnNveASivMA.th.vtt	2.0 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.es-ES.vtt	2.0 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.ja.vtt	2.0 KB
21. Robot Sensing 1-_DjfTytro6I.ar.vtt	2.1 KB
13. Normalizing Probability-yYqN9Mf4jqw.th.vtt	2.1 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.it.vtt	2.1 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.pt-BR.vtt	2.2 KB
35. Using Sensor Data-vhl-SADfti8.ar.vtt	2.2 KB
24. Robot Sensing 4-vasdN2Gol0M.ar.vtt	2.3 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.zh-CN.vtt	2.3 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.ar.vtt	2.5 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.en.vtt	2.6 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.ja.vtt	2.7 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.es-ES.vtt	2.7 KB
03. Prior And Posterior-o2Tpws5C2Eg.ja.vtt	2.9 KB
21. Robot Sensing 1-_DjfTytro6I.th.vtt	3.0 KB
24. Robot Sensing 4-vasdN2Gol0M.th.vtt	3.1 KB
03. Prior And Posterior-o2Tpws5C2Eg.zh-CN.vtt	3.1 KB
02. Cancer Test-CNpSrdnYvbo.pt-BR.vtt	3.1 KB
02. Cancer Test-CNpSrdnYvbo.zh-CN.vtt	3.1 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.pt-BR.vtt	3.2 KB
03. Prior And Posterior-o2Tpws5C2Eg.pt-BR.vtt	3.3 KB
02. Cancer Test-CNpSrdnYvbo.en.vtt	3.3 KB
02. Cancer Test-CNpSrdnYvbo.ja.vtt	3.4 KB
03. Prior And Posterior-o2Tpws5C2Eg.en.vtt	3.4 KB
03. Prior And Posterior-o2Tpws5C2Eg.es-ES.vtt	3.5 KB
02. Cancer Test-CNpSrdnYvbo.es-ES.vtt	3.5 KB
02. Cancer Test-CNpSrdnYvbo.it.vtt	3.5 KB
03. Prior And Posterior-o2Tpws5C2Eg.it.vtt	3.6 KB
08. Bayes Rule Diagram-b8M9CWxRyQ4.th.vtt	3.6 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.ar.vtt	3.9 KB
03. Prior And Posterior-o2Tpws5C2Eg.ar.vtt	4.3 KB
02. Cancer Test-CNpSrdnYvbo.ar.vtt	4.6 KB
20. Bayes Rule Summary-RgXQ8GRsjfc.th.vtt	4.8 KB
02. Cancer Test-CNpSrdnYvbo.th.vtt	5.3 KB
03. Prior And Posterior-o2Tpws5C2Eg.th.vtt	5.7 KB
index.html	6.3 KB
35. Using Sensor Data.html	8.5 KB
32. Reducing Uncertainty.html	8.6 KB
37. Bayes Rule Conclusion.html	8.6 KB
33. Bayes' Rule and Robotics.html	8.6 KB
29. Generalizing.html	8.7 KB
20. Bayes Rule Summary.html	8.9 KB
01. Bayes Rule.html	8.9 KB
08. Bayes Rule Diagram.html	9.0 KB
09. Equivalent Diagram.html	9.3 KB
12. Normalizer.html	10.2 KB
30. Sebastian At Home.html	10.3 KB
24. Robot Sensing 4.html	10.4 KB
17. Disease Test 4.html	10.5 KB
16. Disease Test 3.html	10.5 KB
15. Disease Test 2.html	10.5 KB
27. Robot Sensing 7.html	10.5 KB
25. Robot Sensing 5.html	10.5 KB
26. Robot Sensing 6.html	10.5 KB
22. Robot Sensing 2.html	10.6 KB
23. Robot Sensing 3.html	10.7 KB
04. Normalizing 1.html	10.7 KB
05. Normalizing 2.html	10.7 KB
06. Normalizing 3.html	10.7 KB
11. Probability Given Test.html	10.7 KB
07. Total Probability.html	10.8 KB
18. Disease Test 5.html	10.8 KB
19. Disease Test 6.html	10.8 KB
28. Robot Sensing 8.html	11.1 KB
14. Disease Test 1.html	11.1 KB
03. Prior And Posterior.html	11.1 KB
13. Normalizing Probability.html	11.2 KB
10. Cancer Probabilities.html	11.3 KB
02. Cancer Test.html	11.5 KB
34. Learning from Sensor Data.html	11.9 KB
21. Robot Sensing 1.html	14.6 KB
36. Learning Objectives - Bayes' Rule.html	16.9 KB
31. Learning Objectives - Conditional Probability.html	18.3 KB
27. Robot Sensing 7-clFL503NPyY.mp4	223.5 KB
17. Disease Test 4-ztkKTrMZHXg.mp4	291.7 KB
18. Disease Test 5-4qW7a5E74No.mp4	400.3 KB
16. Disease Test 3-PfEYA6z-19w.mp4	433.9 KB
27. Robot Sensing 7-goEMc0w58xM.mp4	484.7 KB
10. Cancer Probabilities-7ZLe_JP5wRY.mp4	491.1 KB
26. Robot Sensing 6-Se-ddM2Wdac.mp4	496.3 KB
25. Robot Sensing 5-tIrqdYTT_9Q.mp4	518.2 KB
12. Normalizer-G9yQ_URDrDQ.mp4	617.8 KB
06. Normalizing 3-etrUbOAoh1U.mp4	666.1 KB
05. Normalizing 2--pOzdj6pnbA.mp4	688.1 KB
07. Total Probability-_hXCgF-aMB0.mp4	688.4 KB
15. Disease Test 2-GsneDVJB75E.mp4	765.6 KB
17. Disease Test 4-UERKMwmkAsM.mp4	771.1 KB
12. Normalizer-W5i-gRAvZxs.mp4	772.6 KB
28. Robot Sensing 8-hyAQ28MYmc4.mp4	1.0 MB
24. Robot Sensing 4-d_fbDqAGVdE.mp4	1.1 MB
19. Disease Test 6-cdFrLeXIkZU.mp4	1.3 MB
06. Normalizing 3-V96RcbbVP7Q.mp4	1.3 MB
23. Robot Sensing 3--6l4_oprDOk.mp4	1.6 MB
15. Disease Test 2-FQM7i07EqGo.mp4	1.6 MB
26. Robot Sensing 6-hXyXlk0gYzk.mp4	1.7 MB
16. Disease Test 3-a61GPGk-Qy4.mp4	1.7 MB
37. Bayes Rule Conclusion-vlfDGCD8w0s.mp4	1.7 MB
25. Robot Sensing 5-PGG9agooCvw.mp4	1.8 MB
22. Robot Sensing 2-aBBmlnd7okQ.mp4	2.1 MB
07. Total Probability-fAaE5K9OZJc.mp4	2.2 MB
02. Cancer Test-FnNveASivMA.mp4	2.2 MB
13. Normalizing Probability-V_Gqm42WodI.mp4	2.3 MB
04. Normalizing 1-9SbUxcyDTaQ.mp4	2.3 MB
22. Robot Sensing 2-t22oDruXhuo.mp4	2.5 MB
11. Probability Given Test-41HCYR-NW-w.mp4	2.7 MB
14. Disease Test 1-05upwXtARuo.mp4	2.9 MB
10. Cancer Probabilities-CMQBKuYjPBM.mp4	3.0 MB
33. Bayes' Rule and Robotics-meNSO42JF6I.mp4	3.1 MB
04. Normalizing 1-5Tbd3_a5Vug.mp4	3.1 MB
28. Robot Sensing 8-lmuonrQp_lM.mp4	3.5 MB
18. Disease Test 5-nUxwwMNKIYo.mp4	3.8 MB
14. Disease Test 1-qDGSvvabN18.mp4	3.8 MB
03. Prior And Posterior-GlmS_jox08s.mp4	3.9 MB
01. Bayes Rules-CohZnkZMOxE.mp4	4.0 MB
05. Normalizing 2-WYA5Zbf8HC4.mp4	4.5 MB
32. Reducing Uncertainty-zuFMhmKQ--o.mp4	4.6 MB
21. Robot Sensing 1--TBAfU1cjRU.mp4	5.4 MB
35. Using Sensor Data-vhl-SADfti8.mp4	5.5 MB
23. Robot Sensing 3-m1LSU9SPZ2k.mp4	5.8 MB
29. Generalizing-SdMk3aROgSc.mp4	6.6 MB
11. Probability Given Test-omC0zbJyzUY.mp4	7.0 MB
19. Disease Test 6-OdVAt79eQak.mp4	7.4 MB
09. Equivalent Diagram-aUFWZ2uJuBE.mp4	7.7 MB
30. Sebastian At Home-TtmQ7YCw_1Y.mp4	8.1 MB
13. Normalizing Probability-yYqN9Mf4jqw.mp4	9.7 MB
24. Robot Sensing 4-vasdN2Gol0M.mp4	10.4 MB
30. Sebastian At Home-R4zq6mPPMxs.mp4	11.6 MB
21. Robot Sensing 1-_DjfTytro6I.mp4	12.0 MB
08. Bayes Rule Diagram-b8M9CWxRyQ4.mp4	13.1 MB
03. Prior And Posterior-o2Tpws5C2Eg.mp4	15.7 MB
20. Bayes Rule Summary-RgXQ8GRsjfc.mp4	17.7 MB
02. Cancer Test-CNpSrdnYvbo.mp4	18.9 MB
/Part 12-Module 01-Lesson 09_Normal Distribution Theory/
11. Minimum Value-LNzmJUj8K8w.zh-CN.vtt	0.1 KB
11. Minimum Value-LNzmJUj8K8w.ja.vtt	0.1 KB
11. Minimum Value-LNzmJUj8K8w.en.vtt	0.1 KB
11. Minimum Value-LNzmJUj8K8w.es-ES.vtt	0.1 KB
11. Minimum Value-LNzmJUj8K8w.ar.vtt	0.2 KB
11. Minimum Value-LNzmJUj8K8w.pt-BR.vtt	0.2 KB
03. Better Formula-z2xsu2Kehyo.zh-CN.vtt	0.2 KB
03. Better Formula-z2xsu2Kehyo.ja.vtt	0.2 KB
03. Better Formula-z2xsu2Kehyo.en.vtt	0.2 KB
03. Better Formula-z2xsu2Kehyo.es-ES.vtt	0.2 KB
03. Better Formula-z2xsu2Kehyo.pt-BR.vtt	0.2 KB
09. Maximum Value-rjpcSymYulE.ja.vtt	0.3 KB
03. Better Formula-z2xsu2Kehyo.ar.vtt	0.3 KB
09. Maximum Value-z_eElEkVOPY.ja.vtt	0.3 KB
09. Maximum Value-z_eElEkVOPY.zh-CN.vtt	0.3 KB
10. Minimum-tiv8VKPL7jg.ja.vtt	0.3 KB
09. Maximum Value-rjpcSymYulE.zh-CN.vtt	0.3 KB
11. Minimum Value-LconwqN7hJs.zh-CN.vtt	0.3 KB
11. Minimum Value-LconwqN7hJs.ja.vtt	0.3 KB
10. Minimum-tiv8VKPL7jg.zh-CN.vtt	0.3 KB
11. Minimum Value-LconwqN7hJs.pt-BR.vtt	0.3 KB
10. Minimum-tiv8VKPL7jg.en.vtt	0.4 KB
10. Minimum-tiv8VKPL7jg.es-ES.vtt	0.4 KB
11. Minimum Value-LconwqN7hJs.en.vtt	0.4 KB
09. Maximum Value-rjpcSymYulE.en.vtt	0.4 KB
09. Maximum Value-z_eElEkVOPY.es-ES.vtt	0.4 KB
10. Minimum-tiv8VKPL7jg.pt-BR.vtt	0.4 KB
09. Maximum Value-rjpcSymYulE.pt-BR.vtt	0.4 KB
09. Maximum Value-z_eElEkVOPY.en.vtt	0.4 KB
11. Minimum Value-LconwqN7hJs.es-ES.vtt	0.4 KB
06. Quadratics 3-Ny2vcRZ6Aws.ja.vtt	0.4 KB
07. Quadratics 4-zB2Y-5YEIec.ja.vtt	0.4 KB
09. Maximum Value-rjpcSymYulE.es-ES.vtt	0.4 KB
07. Quadratics 4-zB2Y-5YEIec.zh-CN.vtt	0.4 KB
06. Quadratics 3-Ny2vcRZ6Aws.zh-CN.vtt	0.4 KB
01. Maximum Probability-5zkupL6EWh8.zh-CN.vtt	0.4 KB
09. Maximum Value-z_eElEkVOPY.pt-BR.vtt	0.4 KB
07. Quadratics 4-yimIE9fCvi8.ja.vtt	0.4 KB
03. Better Formula-vMAl1m8ZtoI.zh-CN.vtt	0.5 KB
06. Quadratics 3-Ny2vcRZ6Aws.es-ES.vtt	0.5 KB
04. Quadratics-GzRNoodJZxk.zh-CN.vtt	0.5 KB
06. Quadratics 3-Ny2vcRZ6Aws.en.vtt	0.5 KB
11. Minimum Value-LconwqN7hJs.ar.vtt	0.5 KB
06. Quadratics 3-Ny2vcRZ6Aws.pt-BR.vtt	0.5 KB
07. Quadratics 4-zB2Y-5YEIec.pt-BR.vtt	0.5 KB
04. Quadratics-GzRNoodJZxk.ja.vtt	0.5 KB
01. Maximum Probability-5zkupL6EWh8.en.vtt	0.5 KB
01. Maximum Probability-5zkupL6EWh8.ja.vtt	0.5 KB
03. Better Formula-vMAl1m8ZtoI.ja.vtt	0.5 KB
07. Quadratics 4-zB2Y-5YEIec.en.vtt	0.5 KB
09. Maximum Value-z_eElEkVOPY.ar.vtt	0.5 KB
07. Quadratics 4-zB2Y-5YEIec.es-ES.vtt	0.5 KB
10. Minimum-tiv8VKPL7jg.ar.vtt	0.5 KB
07. Quadratics 4-yimIE9fCvi8.zh-CN.vtt	0.5 KB
08. Maximum-MZoYGBZTh-g.zh-CN.vtt	0.5 KB
03. Better Formula-vMAl1m8ZtoI.pt-BR.vtt	0.5 KB
03. Better Formula-vMAl1m8ZtoI.en.vtt	0.5 KB
01. Maximum Probability-5zkupL6EWh8.es-ES.vtt	0.5 KB
09. Maximum Value-rjpcSymYulE.ar.vtt	0.5 KB
03. Better Formula-vMAl1m8ZtoI.es-ES.vtt	0.5 KB
07. Quadratics 4-yimIE9fCvi8.pt-BR.vtt	0.5 KB
01. Maximum Probability-5zkupL6EWh8.pt-BR.vtt	0.6 KB
04. Quadratics-GzRNoodJZxk.es-ES.vtt	0.6 KB
04. Quadratics-GzRNoodJZxk.en.vtt	0.6 KB
10. Minimum-MEbJxfw3NVs.zh-CN.vtt	0.6 KB
14. Central Limit Theorem-36KLIHioAvA.zh-CN.vtt	0.6 KB
06. Quadratics 3-YSMWpFM92S0.ja.vtt	0.6 KB
08. Maximum-MZoYGBZTh-g.ja.vtt	0.6 KB
07. Quadratics 4-yimIE9fCvi8.en.vtt	0.6 KB
04. Quadratics-GzRNoodJZxk.pt-BR.vtt	0.6 KB
07. Quadratics 4-yimIE9fCvi8.es-ES.vtt	0.6 KB
08. Maximum-MZoYGBZTh-g.en.vtt	0.6 KB
06. Quadratics 3-Ny2vcRZ6Aws.ar.vtt	0.6 KB
01. Maximum Probability-5zkupL6EWh8.ar.vtt	0.6 KB
07. Quadratics 4-zB2Y-5YEIec.ar.vtt	0.6 KB
10. Minimum-MEbJxfw3NVs.ja.vtt	0.6 KB
08. Maximum-MZoYGBZTh-g.es-ES.vtt	0.6 KB
06. Quadratics 3-YSMWpFM92S0.zh-CN.vtt	0.6 KB
02. Shape-w5qcGO8krMw.zh-CN.vtt	0.6 KB
03. Better Formula-vMAl1m8ZtoI.ar.vtt	0.7 KB
05. Quadratics 2-N-wpkttwcoA.zh-CN.vtt	0.7 KB
14. Central Limit Theorem-36KLIHioAvA.ja.vtt	0.7 KB
06. Quadratics 3-YSMWpFM92S0.pt-BR.vtt	0.7 KB
14. Central Limit Theorem-36KLIHioAvA.en.vtt	0.7 KB
08. Maximum-MZoYGBZTh-g.ar.vtt	0.7 KB
14. Central Limit Theorem-36KLIHioAvA.pt-BR.vtt	0.7 KB
10. Minimum-MEbJxfw3NVs.pt-BR.vtt	0.7 KB
05. Quadratics 2-N-wpkttwcoA.ja.vtt	0.7 KB
10. Minimum-MEbJxfw3NVs.en.vtt	0.7 KB
14. Central Limit Theorem-36KLIHioAvA.pl.vtt	0.7 KB
08. Maximum-MZoYGBZTh-g.pt-BR.vtt	0.7 KB
05. Quadratics 2-N-wpkttwcoA.en.vtt	0.7 KB
10. Minimum-MEbJxfw3NVs.es-ES.vtt	0.7 KB
05. Quadratics 2-N-wpkttwcoA.pt-BR.vtt	0.7 KB
06. Quadratics 3-YSMWpFM92S0.es-ES.vtt	0.7 KB
02. Shape-w5qcGO8krMw.ja.vtt	0.7 KB
06. Quadratics 3-YSMWpFM92S0.en.vtt	0.8 KB
07. Quadratics 4-yimIE9fCvi8.ar.vtt	0.8 KB
05. Quadratics 2-HjpgML5zsUE.ja.vtt	0.8 KB
05. Quadratics 2-HjpgML5zsUE.zh-CN.vtt	0.8 KB
14. Central Limit Theorem-36KLIHioAvA.pt-PT.vtt	0.8 KB
14. Central Limit Theorem-36KLIHioAvA.es-ES.vtt	0.8 KB
02. Shape-w5qcGO8krMw.en.vtt	0.8 KB
04. Quadratics-GzRNoodJZxk.ar.vtt	0.8 KB
02. Shape-w5qcGO8krMw.es-ES.vtt	0.8 KB
05. Quadratics 2-N-wpkttwcoA.es-ES.vtt	0.8 KB
02. Shape-w5qcGO8krMw.pt-BR.vtt	0.8 KB
05. Quadratics 2-HjpgML5zsUE.en.vtt	0.9 KB
10. Minimum-MEbJxfw3NVs.ar.vtt	0.9 KB
05. Quadratics 2-HjpgML5zsUE.es-ES.vtt	0.9 KB
14. Central Limit Theorem-9I8ysrRlmbA.zh-CN.vtt	0.9 KB
05. Quadratics 2-HjpgML5zsUE.pt-BR.vtt	0.9 KB
14. Central Limit Theorem-9I8ysrRlmbA.ja.vtt	1.0 KB
06. Quadratics 3-YSMWpFM92S0.ar.vtt	1.0 KB
14. Central Limit Theorem-36KLIHioAvA.ar.vtt	1.0 KB
02. Shape-w5qcGO8krMw.ar.vtt	1.0 KB
05. Quadratics 2-N-wpkttwcoA.ar.vtt	1.0 KB
14. Central Limit Theorem-9I8ysrRlmbA.en.vtt	1.1 KB
14. Central Limit Theorem-9I8ysrRlmbA.pt-BR.vtt	1.1 KB
08. Maximum-02v8ui9riew.zh-CN.vtt	1.1 KB
08. Maximum-02v8ui9riew.ja.vtt	1.1 KB
15. Summary-VP-PMcgqhc8.zh-CN.vtt	1.2 KB
14. Central Limit Theorem-9I8ysrRlmbA.es-MX.vtt	1.2 KB
04. Quadratics-1R44jvxIPJY.zh-CN.vtt	1.2 KB
05. Quadratics 2-HjpgML5zsUE.ar.vtt	1.2 KB
04. Quadratics-1R44jvxIPJY.ja.vtt	1.2 KB
15. Summary-VP-PMcgqhc8.ja.vtt	1.3 KB
08. Maximum-02v8ui9riew.en.vtt	1.3 KB
08. Maximum-02v8ui9riew.es-ES.vtt	1.3 KB
08. Maximum-02v8ui9riew.pt-BR.vtt	1.3 KB
14. Central Limit Theorem-9I8ysrRlmbA.ar.vtt	1.4 KB
04. Quadratics-1R44jvxIPJY.es-ES.vtt	1.4 KB
04. Quadratics-1R44jvxIPJY.pt-BR.vtt	1.4 KB
04. Quadratics-1R44jvxIPJY.en.vtt	1.4 KB
15. Summary-VP-PMcgqhc8.es-ES.vtt	1.4 KB
15. Summary-VP-PMcgqhc8.en.vtt	1.5 KB
15. Summary-VP-PMcgqhc8.pt-BR.vtt	1.6 KB
02. Shape-DjsL64Kjr1Q.zh-CN.vtt	1.6 KB
12. Normalizer-mQ_IjrtmmAk.zh-CN.vtt	1.6 KB
13. Formula Summary-zqo1RJEHT_0.zh-CN.vtt	1.7 KB
08. Maximum-02v8ui9riew.ar.vtt	1.7 KB
04. Quadratics-1R44jvxIPJY.ar.vtt	1.7 KB
01. Maximum Probability-b2zvrFL8AUw.zh-CN.vtt	1.8 KB
12. Normalizer-mQ_IjrtmmAk.ja.vtt	1.8 KB
02. Shape-DjsL64Kjr1Q.ja.vtt	1.8 KB
02. Shape-DjsL64Kjr1Q.es-ES.vtt	1.9 KB
02. Shape-DjsL64Kjr1Q.en.vtt	1.9 KB
13. Formula Summary-zqo1RJEHT_0.ja.vtt	1.9 KB
12. Normalizer-mQ_IjrtmmAk.en.vtt	2.0 KB
02. Shape-DjsL64Kjr1Q.pt-BR.vtt	2.0 KB
12. Normalizer-mQ_IjrtmmAk.es-ES.vtt	2.1 KB
01. Maximum Probability-b2zvrFL8AUw.ja.vtt	2.1 KB
15. Summary-VP-PMcgqhc8.ar.vtt	2.1 KB
13. Formula Summary-zqo1RJEHT_0.en.vtt	2.1 KB
12. Normalizer-mQ_IjrtmmAk.pt-BR.vtt	2.2 KB
01. Maximum Probability-b2zvrFL8AUw.en.vtt	2.2 KB
13. Formula Summary-zqo1RJEHT_0.es-ES.vtt	2.2 KB
01. Maximum Probability-b2zvrFL8AUw.es-ES.vtt	2.2 KB
13. Formula Summary-zqo1RJEHT_0.pt-BR.vtt	2.3 KB
12. Normalizer-mQ_IjrtmmAk.ar.vtt	2.5 KB
01. Maximum Probability-b2zvrFL8AUw.pt-BR.vtt	2.6 KB
13. Formula Summary-zqo1RJEHT_0.ar.vtt	2.7 KB
02. Shape-DjsL64Kjr1Q.ar.vtt	2.7 KB
01. Maximum Probability-b2zvrFL8AUw.ar.vtt	2.8 KB
index.html	4.5 KB
15. Summary.html	6.3 KB
12. Normalizer.html	6.3 KB
13. Formula Summary.html	6.4 KB
11. Minimum Value.html	7.9 KB
09. Maximum Value.html	7.9 KB
01. Maximum Probability.html	8.0 KB
07. Quadratics 4.html	8.0 KB
03. Better Formula.html	8.1 KB
02. Shape.html	8.4 KB
08. Maximum.html	8.4 KB
05. Quadratics 2.html	8.4 KB
04. Quadratics.html	8.5 KB
06. Quadratics 3.html	8.5 KB
10. Minimum.html	8.7 KB
14. Central Limit Theorem.html	10.5 KB
07. Quadratics 4-zB2Y-5YEIec.mp4	531.5 KB
11. Minimum Value-LNzmJUj8K8w.mp4	677.0 KB
09. Maximum Value-rjpcSymYulE.mp4	790.4 KB
04. Quadratics-GzRNoodJZxk.mp4	884.7 KB
11. Minimum Value-LconwqN7hJs.mp4	914.7 KB
03. Better Formula-z2xsu2Kehyo.mp4	1.2 MB
01. Maximum Probability-5zkupL6EWh8.mp4	1.3 MB
05. Quadratics 2-N-wpkttwcoA.mp4	1.7 MB
02. Shape-w5qcGO8krMw.mp4	1.7 MB
10. Minimum-tiv8VKPL7jg.mp4	1.8 MB
09. Maximum Value-z_eElEkVOPY.mp4	1.9 MB
07. Quadratics 4-yimIE9fCvi8.mp4	2.1 MB
03. Better Formula-vMAl1m8ZtoI.mp4	2.6 MB
06. Quadratics 3-YSMWpFM92S0.mp4	2.7 MB
06. Quadratics 3-Ny2vcRZ6Aws.mp4	2.7 MB
08. Maximum-MZoYGBZTh-g.mp4	2.8 MB
10. Minimum-MEbJxfw3NVs.mp4	3.7 MB
14. Central Limit Theorem-36KLIHioAvA.mp4	3.8 MB
05. Quadratics 2-HjpgML5zsUE.mp4	4.9 MB
14. Central Limit Theorem-9I8ysrRlmbA.mp4	5.3 MB
08. Maximum-02v8ui9riew.mp4	6.9 MB
15. Summary-VP-PMcgqhc8.mp4	7.0 MB
12. Normalizer-mQ_IjrtmmAk.mp4	7.6 MB
04. Quadratics-1R44jvxIPJY.mp4	7.6 MB
02. Shape-DjsL64Kjr1Q.mp4	11.7 MB
13. Formula Summary-zqo1RJEHT_0.mp4	13.2 MB
01. Maximum Probability-b2zvrFL8AUw.mp4	23.0 MB
/Part 12-Module 01-Lesson 05_Binomial Distribution/
02. Heads Tails-yo55zJtJQwo.zh-CN.vtt	0.1 KB
02. Heads Tails-yo55zJtJQwo.en.vtt	0.1 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.en.vtt	0.1 KB
02. Heads Tails-yo55zJtJQwo.es-ES.vtt	0.1 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.es-ES.vtt	0.1 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.zh-CN.vtt	0.1 KB
02. Heads Tails-yo55zJtJQwo.ja.vtt	0.1 KB
02. Heads Tails-yo55zJtJQwo.ar.vtt	0.1 KB
04. 5 Flips 1 Head-VEfOdACY9rA.en.vtt	0.1 KB
11. Binomial 2-Uy7b3aMPnEY.zh-CN.vtt	0.2 KB
04. 5 Flips 1 Head-VEfOdACY9rA.zh-CN.vtt	0.2 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.ja.vtt	0.2 KB
02. Heads Tails-yo55zJtJQwo.pt-BR.vtt	0.2 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.pt-BR.vtt	0.2 KB
04. 5 Flips 1 Head-VEfOdACY9rA.es-ES.vtt	0.2 KB
11. Binomial 2-Uy7b3aMPnEY.en.vtt	0.2 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.ar.vtt	0.2 KB
11. Binomial 2-Uy7b3aMPnEY.es-ES.vtt	0.2 KB
04. 5 Flips 1 Head-VEfOdACY9rA.ja.vtt	0.2 KB
11. Binomial 2-d4LWnxyvrTQ.zh-CN.vtt	0.2 KB
11. Binomial 2-Uy7b3aMPnEY.ja.vtt	0.2 KB
11. Binomial 2-d4LWnxyvrTQ.ja.vtt	0.2 KB
11. Binomial 2-Uy7b3aMPnEY.ar.vtt	0.2 KB
08. Formula-yTr8zCHdo5M.zh-CN.vtt	0.2 KB
14. Binomial 5-yof0QiP2mzk.zh-CN.vtt	0.2 KB
14. Binomial 5-yof0QiP2mzk.ja.vtt	0.2 KB
03. Heads Tails 2-S87Z5DgPJeo.en.vtt	0.2 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.zh-CN.vtt	0.2 KB
03. Heads Tails 2-S87Z5DgPJeo.zh-CN.vtt	0.2 KB
08. Formula-yTr8zCHdo5M.ja.vtt	0.2 KB
14. Binomial 5-yof0QiP2mzk.es-ES.vtt	0.2 KB
14. Binomial 5-yof0QiP2mzk.en.vtt	0.2 KB
04. 5 Flips 1 Head-VEfOdACY9rA.ar.vtt	0.2 KB
11. Binomial 2-d4LWnxyvrTQ.en.vtt	0.2 KB
04. 5 Flips 1 Head-VEfOdACY9rA.pt-BR.vtt	0.2 KB
05. 5 Flips 2 Heads-lhhUjxnbad8.zh-CN.vtt	0.2 KB
03. Heads Tails 2-S87Z5DgPJeo.es-ES.vtt	0.2 KB
08. Formula-yTr8zCHdo5M.es-ES.vtt	0.2 KB
05. 5 Flips 2 Heads-lhhUjxnbad8.en.vtt	0.2 KB
11. Binomial 2-d4LWnxyvrTQ.es-ES.vtt	0.2 KB
03. Heads Tails 2-vLhdJtXx060.es-ES.vtt	0.2 KB
08. Formula-yTr8zCHdo5M.en.vtt	0.2 KB
05. 5 Flips 2 Heads-lhhUjxnbad8.es-ES.vtt	0.2 KB
03. Heads Tails 2-S87Z5DgPJeo.ja.vtt	0.2 KB
03. Heads Tails 2-vLhdJtXx060.en.vtt	0.2 KB
11. Binomial 2-d4LWnxyvrTQ.pt-BR.vtt	0.2 KB
05. 5 Flips 2 Heads-lhhUjxnbad8.ja.vtt	0.2 KB
03. Heads Tails 2-vLhdJtXx060.ja.vtt	0.2 KB
08. Formula-yTr8zCHdo5M.pt-BR.vtt	0.2 KB
03. Heads Tails 2-S87Z5DgPJeo.pt-BR.vtt	0.2 KB
03. Heads Tails 2-S87Z5DgPJeo.ar.vtt	0.3 KB
03. Heads Tails 2-vLhdJtXx060.zh-CN.vtt	0.3 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.es-ES.vtt	0.3 KB
04. 5 Flips 1 Head-4LVRNqpdxsw.ja.vtt	0.3 KB
14. Binomial 5-yof0QiP2mzk.pt-BR.vtt	0.3 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.en.vtt	0.3 KB
04. 5 Flips 1 Head-4LVRNqpdxsw.en.vtt	0.3 KB
05. 5 Flips 2 Heads-lhhUjxnbad8.pt-BR.vtt	0.3 KB
11. Binomial 2-d4LWnxyvrTQ.ar.vtt	0.3 KB
04. 5 Flips 1 Head-4LVRNqpdxsw.zh-CN.vtt	0.3 KB
04. 5 Flips 1 Head-4LVRNqpdxsw.es-ES.vtt	0.3 KB
11. Binomial 2-Uy7b3aMPnEY.pt-BR.vtt	0.3 KB
03. Heads Tails 2-vLhdJtXx060.pt-BR.vtt	0.3 KB
14. Binomial 5-8jcCGD986jk.zh-CN.vtt	0.3 KB
15. Binomial 6-CQHRYIU6v9Q.ja.vtt	0.3 KB
02. Heads Tails-iyX0-eXStbw.ja.vtt	0.3 KB
10. Binomial 1-RBfFHxEjsIU.ja.vtt	0.3 KB
01. Binomial-x1yamZeOMPY.zh-CN.vtt	0.3 KB
14. Binomial 5-yof0QiP2mzk.ar.vtt	0.3 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.ja.vtt	0.3 KB
15. Binomial 6-CQHRYIU6v9Q.zh-CN.vtt	0.3 KB
02. Heads Tails-iyX0-eXStbw.zh-CN.vtt	0.3 KB
05. 5 Flips 2 Heads-lhhUjxnbad8.ar.vtt	0.3 KB
01. Binomial-x1yamZeOMPY.ja.vtt	0.3 KB
15. Binomial 6-CQHRYIU6v9Q.es-ES.vtt	0.3 KB
08. Formula-yTr8zCHdo5M.ar.vtt	0.3 KB
03. Heads Tails 2-vLhdJtXx060.ar.vtt	0.3 KB
01. Binomial-x1yamZeOMPY.en.vtt	0.3 KB
15. Binomial 6-CQHRYIU6v9Q.en.vtt	0.3 KB
02. Heads Tails-iyX0-eXStbw.en.vtt	0.3 KB
14. Binomial 5-8jcCGD986jk.en.vtt	0.3 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.ar.vtt	0.3 KB
14. Binomial 5-8jcCGD986jk.es-ES.vtt	0.4 KB
01. Binomial-x1yamZeOMPY.es-ES.vtt	0.4 KB
04. 5 Flips 1 Head-4LVRNqpdxsw.pt-BR.vtt	0.4 KB
02. Heads Tails-iyX0-eXStbw.es-ES.vtt	0.4 KB
01. Binomial-x1yamZeOMPY.pt-BR.vtt	0.4 KB
10. Binomial 1-RBfFHxEjsIU.zh-CN.vtt	0.4 KB
04. 5 Flips 1 Head-4LVRNqpdxsw.ar.vtt	0.4 KB
14. Binomial 5-8jcCGD986jk.ja.vtt	0.4 KB
02. Heads Tails-iyX0-eXStbw.pt-BR.vtt	0.4 KB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.pt-BR.vtt	0.4 KB
14. Binomial 5-8jcCGD986jk.ar.vtt	0.4 KB
10. Binomial 1-RBfFHxEjsIU.en.vtt	0.4 KB
15. Binomial 6-CQHRYIU6v9Q.pt-BR.vtt	0.4 KB
13. Binomial 4-mvJUNYfHngY.ja.vtt	0.4 KB
13. Binomial 4-mvJUNYfHngY.zh-CN.vtt	0.4 KB
09. Arrangements-NRPcnpmFCg8.zh-CN.vtt	0.4 KB
10. Binomial 1-RBfFHxEjsIU.es-ES.vtt	0.4 KB
10. Binomial 1-RBfFHxEjsIU.pt-BR.vtt	0.4 KB
09. Arrangements-NRPcnpmFCg8.en.vtt	0.5 KB
15. Binomial 6-n_OrWrZ8tKY.zh-CN.vtt	0.5 KB
02. Heads Tails-iyX0-eXStbw.ar.vtt	0.5 KB
14. Binomial 5-8jcCGD986jk.pt-BR.vtt	0.5 KB
09. Arrangements-NRPcnpmFCg8.ja.vtt	0.5 KB
15. Binomial 6-CQHRYIU6v9Q.ar.vtt	0.5 KB
13. Binomial 4-mvJUNYfHngY.en.vtt	0.5 KB
01. Binomial-x1yamZeOMPY.ar.vtt	0.5 KB
09. Arrangements-NRPcnpmFCg8.es-ES.vtt	0.5 KB
13. Binomial 4-mvJUNYfHngY.pt-BR.vtt	0.5 KB
13. Binomial 4-mvJUNYfHngY.es-ES.vtt	0.5 KB
15. Binomial 6-n_OrWrZ8tKY.ja.vtt	0.5 KB
10. Binomial 1-RBfFHxEjsIU.ar.vtt	0.5 KB
15. Binomial 6-n_OrWrZ8tKY.es-ES.vtt	0.5 KB
15. Binomial 6-n_OrWrZ8tKY.en.vtt	0.5 KB
12. Binomial 3-Jp2xJOtNQZ0.zh-CN.vtt	0.6 KB
12. Binomial 3-Jp2xJOtNQZ0.ja.vtt	0.6 KB
09. Arrangements-NRPcnpmFCg8.pt-BR.vtt	0.6 KB
12. Binomial 3-Jp2xJOtNQZ0.en.vtt	0.6 KB
13. Binomial 4-mvJUNYfHngY.ar.vtt	0.7 KB
09. Arrangements-NRPcnpmFCg8.ar.vtt	0.7 KB
12. Binomial 3-Jp2xJOtNQZ0.es-ES.vtt	0.7 KB
15. Binomial 6-n_OrWrZ8tKY.pt-BR.vtt	0.7 KB
12. Binomial 3-Jp2xJOtNQZ0.pt-BR.vtt	0.7 KB
15. Binomial 6-n_OrWrZ8tKY.ar.vtt	0.7 KB
08. Formula-DTdS-LlMTQ0.zh-CN.vtt	0.7 KB
10. Binomial 1-07vOaYwecII.zh-CN.vtt	0.8 KB
01. Binomial-3koDdc9r73E.zh-CN.vtt	0.8 KB
12. Binomial 3-Jp2xJOtNQZ0.ar.vtt	0.8 KB
10. Binomial 1-07vOaYwecII.ja.vtt	0.8 KB
01. Binomial-3koDdc9r73E.ja.vtt	0.8 KB
01. Binomial-3koDdc9r73E.en.vtt	0.8 KB
10. Binomial 1-07vOaYwecII.en.vtt	0.9 KB
01. Binomial-3koDdc9r73E.pt-BR.vtt	0.9 KB
10. Binomial 1-07vOaYwecII.es-ES.vtt	0.9 KB
01. Binomial-3koDdc9r73E.es-ES.vtt	0.9 KB
07. 10 Flips 5 Heads-mOPFQlKBg2M.es-ES.vtt	0.9 KB
07. 10 Flips 5 Heads-mOPFQlKBg2M.en.vtt	0.9 KB
07. 10 Flips 5 Heads-mOPFQlKBg2M.zh-CN.vtt	0.9 KB
07. 10 Flips 5 Heads-mOPFQlKBg2M.ja.vtt	0.9 KB
08. Formula-DTdS-LlMTQ0.en.vtt	0.9 KB
08. Formula-DTdS-LlMTQ0.es-ES.vtt	0.9 KB
13. Binomial 4-lPrKmvckG4E.zh-CN.vtt	1.0 KB
10. Binomial 1-07vOaYwecII.pt-BR.vtt	1.0 KB
08. Formula-DTdS-LlMTQ0.ja.vtt	1.0 KB
05. 5 Flips 2 Heads-69je8wHh2mQ.zh-CN.vtt	1.0 KB
10. Binomial 1-07vOaYwecII.ar.vtt	1.1 KB
12. Binomial 3-YIELbuet-ZE.zh-CN.vtt	1.1 KB
05. 5 Flips 2 Heads-69je8wHh2mQ.ja.vtt	1.1 KB
13. Binomial 4-lPrKmvckG4E.ja.vtt	1.1 KB
05. 5 Flips 2 Heads-69je8wHh2mQ.en.vtt	1.1 KB
01. Binomial-3koDdc9r73E.ar.vtt	1.1 KB
05. 5 Flips 2 Heads-69je8wHh2mQ.es-ES.vtt	1.1 KB
13. Binomial 4-lPrKmvckG4E.es-ES.vtt	1.1 KB
13. Binomial 4-lPrKmvckG4E.en.vtt	1.1 KB
07. 10 Flips 5 Heads-mOPFQlKBg2M.ar.vtt	1.2 KB
12. Binomial 3-YIELbuet-ZE.ja.vtt	1.2 KB
08. Formula-DTdS-LlMTQ0.pt-BR.vtt	1.2 KB
05. 5 Flips 2 Heads-69je8wHh2mQ.pt-BR.vtt	1.2 KB
07. 10 Flips 5 Heads-mOPFQlKBg2M.pt-BR.vtt	1.3 KB
08. Formula-DTdS-LlMTQ0.ar.vtt	1.3 KB
12. Binomial 3-YIELbuet-ZE.en.vtt	1.3 KB
12. Binomial 3-YIELbuet-ZE.es-ES.vtt	1.3 KB
09. Arrangements-GeINbOOYkF8.zh-CN.vtt	1.4 KB
05. 5 Flips 2 Heads-69je8wHh2mQ.ar.vtt	1.4 KB
13. Binomial 4-lPrKmvckG4E.ar.vtt	1.4 KB
12. Binomial 3-YIELbuet-ZE.pt-BR.vtt	1.5 KB
13. Binomial 4-lPrKmvckG4E.pt-BR.vtt	1.5 KB
06. 5 Flips 3 Heads-pOKmt4w8T3g.zh-CN.vtt	1.6 KB
06. 5 Flips 3 Heads-pOKmt4w8T3g.ja.vtt	1.7 KB
09. Arrangements-GeINbOOYkF8.en.vtt	1.7 KB
09. Arrangements-GeINbOOYkF8.es-ES.vtt	1.7 KB
09. Arrangements-GeINbOOYkF8.ja.vtt	1.7 KB
06. 5 Flips 3 Heads-pOKmt4w8T3g.en.vtt	1.8 KB
06. 5 Flips 3 Heads-pOKmt4w8T3g.es-ES.vtt	1.8 KB
12. Binomial 3-YIELbuet-ZE.ar.vtt	1.9 KB
06. 5 Flips 3 Heads-pOKmt4w8T3g.pt-BR.vtt	1.9 KB
09. Arrangements-GeINbOOYkF8.pt-BR.vtt	2.0 KB
09. Arrangements-GeINbOOYkF8.ar.vtt	2.3 KB
16. Binomial Distribution Conclusion-9gjCYs8f_PU.zh-CN.vtt	2.5 KB
06. 5 Flips 3 Heads-pOKmt4w8T3g.ar.vtt	2.6 KB
16. Binomial Distribution Conclusion-9gjCYs8f_PU.en.vtt	3.0 KB
16. Binomial Distribution Conclusion-9gjCYs8f_PU.pt-BR.vtt	3.3 KB
16. Binomial Distribution Conclusion-9gjCYs8f_PU.ar.vtt	4.0 KB
index.html	4.6 KB
16. Binomial Conclusion.html	6.4 KB
17. Text Recap + Next Steps.html	7.9 KB
01. Binomial.html	8.0 KB
13. Binomial 4.html	8.0 KB
12. Binomial 3.html	8.0 KB
15. Binomial 6.html	8.0 KB
14. Binomial 5.html	8.0 KB
02. Heads Tails.html	8.0 KB
09. Arrangements.html	8.1 KB
03. Heads Tails 2.html	8.1 KB
04. 5 Flips 1 Head.html	8.1 KB
05. 5 Flips 2 Heads.html	8.1 KB
06. 5 Flips 3 Heads.html	8.1 KB
07. 10 Flips 5 Heads.html	8.1 KB
10. Binomial 1.html	8.2 KB
11. Binomial 2.html	8.2 KB
08. Formula.html	8.6 KB
06. 5 Flips 3 Heads-1PHs2w_NNTg.mp4	844.7 KB
14. Binomial 5-yof0QiP2mzk.mp4	1.1 MB
02. Heads Tails-yo55zJtJQwo.mp4	1.1 MB
11. Binomial 2-d4LWnxyvrTQ.mp4	1.1 MB
02. Heads Tails-iyX0-eXStbw.mp4	1.1 MB
08. Formula-yTr8zCHdo5M.mp4	1.3 MB
03. Heads Tails 2-S87Z5DgPJeo.mp4	1.5 MB
04. 5 Flips 1 Head-VEfOdACY9rA.mp4	1.6 MB
04. 5 Flips 1 Head-4LVRNqpdxsw.mp4	1.7 MB
03. Heads Tails 2-vLhdJtXx060.mp4	1.7 MB
15. Binomial 6-CQHRYIU6v9Q.mp4	1.8 MB
11. Binomial 2-Uy7b3aMPnEY.mp4	1.9 MB
05. 5 Flips 2 Heads-lhhUjxnbad8.mp4	2.0 MB
01. Binomial-x1yamZeOMPY.mp4	2.0 MB
09. Arrangements-NRPcnpmFCg8.mp4	2.2 MB
10. Binomial 1-RBfFHxEjsIU.mp4	2.5 MB
14. Binomial 5-8jcCGD986jk.mp4	2.6 MB
13. Binomial 4-mvJUNYfHngY.mp4	2.9 MB
13. Binomial 4-lPrKmvckG4E.mp4	3.1 MB
07. 10 Flips 5 Heads-Qm4KTLfFMzo.mp4	3.5 MB
15. Binomial 6-n_OrWrZ8tKY.mp4	4.7 MB
12. Binomial 3-Jp2xJOtNQZ0.mp4	4.9 MB
01. Binomial-3koDdc9r73E.mp4	5.1 MB
10. Binomial 1-07vOaYwecII.mp4	6.6 MB
12. Binomial 3-YIELbuet-ZE.mp4	7.5 MB
05. 5 Flips 2 Heads-69je8wHh2mQ.mp4	7.9 MB
07. 10 Flips 5 Heads-mOPFQlKBg2M.mp4	9.7 MB
16. Binomial Distribution Conclusion-9gjCYs8f_PU.mp4	10.7 MB
08. Formula-DTdS-LlMTQ0.mp4	11.3 MB
06. 5 Flips 3 Heads-pOKmt4w8T3g.mp4	12.5 MB
09. Arrangements-GeINbOOYkF8.mp4	16.7 MB
/Part 12-Module 01-Lesson 06_Conditional Probability/
02. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt	0.1 KB
02. Medical Example 1-E1ph6NP3_v4.en.vtt	0.1 KB
06. Medical Example 5-fqt7NIvMB0s.zh-CN.vtt	0.1 KB
02. Medical Example 1-E1ph6NP3_v4.es-ES.vtt	0.1 KB
06. Medical Example 5-fqt7NIvMB0s.it.vtt	0.1 KB
06. Medical Example 5-fqt7NIvMB0s.en.vtt	0.1 KB
02. Medical Example 1-E1ph6NP3_v4.ar.vtt	0.1 KB
02. Medical Example 1-E1ph6NP3_v4.it.vtt	0.1 KB
06. Medical Example 5-fqt7NIvMB0s.ja.vtt	0.1 KB
07. Medical Example 6-iyE5h48qPFQ.ja.vtt	0.1 KB
02. Medical Example 1-E1ph6NP3_v4.ja.vtt	0.1 KB
06. Medical Example 5-fqt7NIvMB0s.es-ES.vtt	0.1 KB
02. Medical Example 1-E1ph6NP3_v4.pt-BR.vtt	0.1 KB
08. Medical Example 7-cw_zgQbAWNU.zh-CN.vtt	0.2 KB
06. Medical Example 5-fqt7NIvMB0s.ar.vtt	0.2 KB
07. Medical Example 6-iyE5h48qPFQ.zh-CN.vtt	0.2 KB
07. Medical Example 6-iyE5h48qPFQ.it.vtt	0.2 KB
07. Medical Example 6-iyE5h48qPFQ.pt-BR.vtt	0.2 KB
02. Medical Example 1-E1ph6NP3_v4.th.vtt	0.2 KB
07. Medical Example 6-iyE5h48qPFQ.es-ES.vtt	0.2 KB
08. Medical Example 7-cw_zgQbAWNU.en.vtt	0.2 KB
06. Medical Example 5-fqt7NIvMB0s.pt-BR.vtt	0.2 KB
07. Medical Example 6-iyE5h48qPFQ.en.vtt	0.2 KB
08. Medical Example 7-cw_zgQbAWNU.it.vtt	0.2 KB
08. Medical Example 7-cw_zgQbAWNU.es-ES.vtt	0.2 KB
08. Medical Example 7-cw_zgQbAWNU.pt-BR.vtt	0.2 KB
08. Medical Example 7-cw_zgQbAWNU.ja.vtt	0.2 KB
07. Medical Example 6-iyE5h48qPFQ.ar.vtt	0.2 KB
06. Medical Example 5-fqt7NIvMB0s.th.vtt	0.2 KB
04. Medical Example 3-Rf6WfB_1EJQ.zh-CN.vtt	0.2 KB
08. Medical Example 7-cw_zgQbAWNU.th.vtt	0.2 KB
11. Two Coins 1-SYnYIjLpbjE.ja.vtt	0.2 KB
08. Medical Example 7-cw_zgQbAWNU.ar.vtt	0.2 KB
11. Two Coins 1-SYnYIjLpbjE.it.vtt	0.2 KB
11. Two Coins 1-SYnYIjLpbjE.zh-CN.vtt	0.2 KB
11. Two Coins 1-SYnYIjLpbjE.en.vtt	0.2 KB
11. Two Coins 1-SYnYIjLpbjE.es-ES.vtt	0.3 KB
08. Medical Example 7-jPspIs-fNxg.ja.vtt	0.3 KB
04. Medical Example 3-Rf6WfB_1EJQ.ja.vtt	0.3 KB
07. Medical Example 6--lC9xztr4zA.ja.vtt	0.3 KB
06. Medical Example 5-ys9w-NNKCcU.zh-CN.vtt	0.3 KB
05. Medical Example 4-pL8Bf6tck_A.zh-CN.vtt	0.3 KB
04. Medical Example 3-Rf6WfB_1EJQ.en.vtt	0.3 KB
11. Two Coins 1-SYnYIjLpbjE.pt-BR.vtt	0.3 KB
11. Two Coins 1-SYnYIjLpbjE.ar.vtt	0.3 KB
04. Medical Example 3-Rf6WfB_1EJQ.it.vtt	0.3 KB
08. Medical Example 7-jPspIs-fNxg.pt-BR.vtt	0.3 KB
04. Medical Example 3-Rf6WfB_1EJQ.es-ES.vtt	0.3 KB
05. Medical Example 4-udduksMWMB4.zh-CN.vtt	0.3 KB
08. Medical Example 7-jPspIs-fNxg.zh-CN.vtt	0.3 KB
07. Medical Example 6-iyE5h48qPFQ.th.vtt	0.3 KB
05. Medical Example 4-pL8Bf6tck_A.ja.vtt	0.3 KB
05. Medical Example 4-pL8Bf6tck_A.it.vtt	0.3 KB
05. Medical Example 4-pL8Bf6tck_A.en.vtt	0.3 KB
08. Medical Example 7-jPspIs-fNxg.it.vtt	0.3 KB
06. Medical Example 5-ys9w-NNKCcU.ja.vtt	0.3 KB
08. Medical Example 7-jPspIs-fNxg.en.vtt	0.3 KB
05. Medical Example 4-udduksMWMB4.ja.vtt	0.3 KB
05. Medical Example 4-pL8Bf6tck_A.es-ES.vtt	0.3 KB
04. Medical Example 3-Rf6WfB_1EJQ.ar.vtt	0.3 KB
07. Medical Example 6--lC9xztr4zA.pt-BR.vtt	0.3 KB
02. Medical Example 1-mFfbts1lAEo.zh-CN.vtt	0.3 KB
06. Medical Example 5-ys9w-NNKCcU.it.vtt	0.3 KB
06. Medical Example 5-ys9w-NNKCcU.en.vtt	0.3 KB
08. Medical Example 7-jPspIs-fNxg.es-ES.vtt	0.4 KB
03. Medical Example 2-VLLG0rYC7To.zh-CN.vtt	0.4 KB
05. Medical Example 4-udduksMWMB4.en.vtt	0.4 KB
06. Medical Example 5-ys9w-NNKCcU.es-ES.vtt	0.4 KB
05. Medical Example 4-udduksMWMB4.it.vtt	0.4 KB
05. Medical Example 4-udduksMWMB4.es-ES.vtt	0.4 KB
05. Medical Example 4-pL8Bf6tck_A.pt-BR.vtt	0.4 KB
03. Medical Example 2-VLLG0rYC7To.ja.vtt	0.4 KB
03. Medical Example 2-VLLG0rYC7To.en.vtt	0.4 KB
07. Medical Example 6--lC9xztr4zA.zh-CN.vtt	0.4 KB
09. Medical Example 8-7k5oAaZamCA.zh-CN.vtt	0.4 KB
09. Medical Example 8-7k5oAaZamCA.ja.vtt	0.4 KB
06. Medical Example 5-ys9w-NNKCcU.pt-BR.vtt	0.4 KB
05. Medical Example 4-udduksMWMB4.pt-BR.vtt	0.4 KB
09. Medical Example 8-7k5oAaZamCA.pt-BR.vtt	0.4 KB
08. Medical Example 7-jPspIs-fNxg.ar.vtt	0.4 KB
05. Medical Example 4-pL8Bf6tck_A.ar.vtt	0.4 KB
03. Medical Example 2-VLLG0rYC7To.es-ES.vtt	0.4 KB
03. Medical Example 2-VLLG0rYC7To.it.vtt	0.4 KB
04. Medical Example 3-Rf6WfB_1EJQ.pt-BR.vtt	0.4 KB
07. Medical Example 6--lC9xztr4zA.it.vtt	0.4 KB
11. Two Coins 1-SYnYIjLpbjE.th.vtt	0.4 KB
09. Medical Example 8-7k5oAaZamCA.en.vtt	0.4 KB
02. Medical Example 1-mFfbts1lAEo.it.vtt	0.4 KB
09. Medical Example 8-7k5oAaZamCA.es-ES.vtt	0.4 KB
07. Medical Example 6--lC9xztr4zA.es-ES.vtt	0.4 KB
02. Medical Example 1-mFfbts1lAEo.en.vtt	0.4 KB
09. Medical Example 8-7k5oAaZamCA.it.vtt	0.4 KB
07. Medical Example 6--lC9xztr4zA.en.vtt	0.4 KB
06. Medical Example 5-ys9w-NNKCcU.ar.vtt	0.4 KB
03. Medical Example 2-VLLG0rYC7To.pt-BR.vtt	0.4 KB
02. Medical Example 1-mFfbts1lAEo.ja.vtt	0.4 KB
02. Medical Example 1-mFfbts1lAEo.es-ES.vtt	0.5 KB
07. Medical Example 6--lC9xztr4zA.ar.vtt	0.5 KB
03. Medical Example 2-VLLG0rYC7To.ar.vtt	0.5 KB
02. Medical Example 1-mFfbts1lAEo.pt-BR.vtt	0.5 KB
09. Medical Example 8-7k5oAaZamCA.ar.vtt	0.5 KB
05. Medical Example 4-udduksMWMB4.ar.vtt	0.5 KB
05. Medical Example 4-pL8Bf6tck_A.th.vtt	0.5 KB
08. Medical Example 7-jPspIs-fNxg.th.vtt	0.5 KB
02. Medical Example 1-mFfbts1lAEo.ar.vtt	0.6 KB
09. Medical Example 8-btGdX0ZpkNU.pt-BR.vtt	0.6 KB
07. Medical Example 6--lC9xztr4zA.th.vtt	0.6 KB
09. Medical Example 8-btGdX0ZpkNU.ja.vtt	0.6 KB
11. Two Coins 1-QIQBb4nLsHc.zh-CN.vtt	0.6 KB
09. Medical Example 8-btGdX0ZpkNU.zh-CN.vtt	0.6 KB
03. Medical Example 2-VLLG0rYC7To.th.vtt	0.6 KB
11. Two Coins 1-QIQBb4nLsHc.en.vtt	0.7 KB
05. Medical Example 4-udduksMWMB4.th.vtt	0.7 KB
11. Two Coins 1-QIQBb4nLsHc.pt-BR.vtt	0.7 KB
12. Two Coins 2-tI0J14yQr1s.pt-BR.vtt	0.7 KB
11. Two Coins 1-QIQBb4nLsHc.it.vtt	0.7 KB
09. Medical Example 8-btGdX0ZpkNU.en.vtt	0.7 KB
12. Two Coins 2-tI0J14yQr1s.zh-CN.vtt	0.7 KB
11. Two Coins 1-QIQBb4nLsHc.ja.vtt	0.7 KB
06. Medical Example 5-ys9w-NNKCcU.th.vtt	0.7 KB
09. Medical Example 8-btGdX0ZpkNU.es-ES.vtt	0.7 KB
11. Two Coins 1-QIQBb4nLsHc.es-ES.vtt	0.7 KB
14. Two Coins 4-cDub-OOrIRE.zh-CN.vtt	0.8 KB
14. Two Coins 4-cDub-OOrIRE.pt-BR.vtt	0.8 KB
09. Medical Example 8-btGdX0ZpkNU.it.vtt	0.8 KB
09. Medical Example 8-7k5oAaZamCA.th.vtt	0.8 KB
04. Medical Example 3-Iz4ViIg9ZlQ.zh-CN.vtt	0.8 KB
14. Two Coins 4-cDub-OOrIRE.en.vtt	0.8 KB
12. Two Coins 2-tI0J14yQr1s.en.vtt	0.8 KB
14. Two Coins 4-cDub-OOrIRE.ja.vtt	0.8 KB
02. Medical Example 1-mFfbts1lAEo.th.vtt	0.8 KB
12. Two Coins 2-tI0J14yQr1s.ja.vtt	0.8 KB
12. Two Coins 2-tI0J14yQr1s.it.vtt	0.8 KB
12. Two Coins 2-tI0J14yQr1s.es-ES.vtt	0.8 KB
14. Two Coins 4-cDub-OOrIRE.it.vtt	0.8 KB
13. Two Coins 3-GO6kbL3QRBE.ja.vtt	0.8 KB
14. Two Coins 4-cDub-OOrIRE.es-ES.vtt	0.8 KB
11. Two Coins 1-QIQBb4nLsHc.ar.vtt	0.8 KB
09. Medical Example 8-btGdX0ZpkNU.ar.vtt	0.9 KB
04. Medical Example 3-Iz4ViIg9ZlQ.en.vtt	1.0 KB
13. Two Coins 3-GO6kbL3QRBE.pt-BR.vtt	1.0 KB
04. Medical Example 3-Iz4ViIg9ZlQ.es-ES.vtt	1.0 KB
13. Two Coins 3-GO6kbL3QRBE.zh-CN.vtt	1.0 KB
04. Medical Example 3-Iz4ViIg9ZlQ.it.vtt	1.0 KB
14. Two Coins 4-cDub-OOrIRE.ar.vtt	1.0 KB
13. Two Coins 3-GO6kbL3QRBE.en.vtt	1.1 KB
12. Two Coins 2-tI0J14yQr1s.ar.vtt	1.1 KB
04. Medical Example 3-Iz4ViIg9ZlQ.ja.vtt	1.1 KB
14. Two Coins 4-9R44IyZ-aQI.ja.vtt	1.1 KB
13. Two Coins 3-GO6kbL3QRBE.es-ES.vtt	1.1 KB
13. Two Coins 3-GO6kbL3QRBE.it.vtt	1.1 KB
04. Medical Example 3-Iz4ViIg9ZlQ.pt-BR.vtt	1.2 KB
14. Two Coins 4-9R44IyZ-aQI.pt-BR.vtt	1.2 KB
09. Medical Example 8-btGdX0ZpkNU.th.vtt	1.2 KB
04. Medical Example 3-Iz4ViIg9ZlQ.ar.vtt	1.2 KB
14. Two Coins 4-9R44IyZ-aQI.zh-CN.vtt	1.3 KB
14. Two Coins 4-9R44IyZ-aQI.es-ES.vtt	1.4 KB
14. Two Coins 4-9R44IyZ-aQI.en.vtt	1.4 KB
14. Two Coins 4-cDub-OOrIRE.th.vtt	1.4 KB
14. Two Coins 4-9R44IyZ-aQI.it.vtt	1.4 KB
13. Two Coins 3-GO6kbL3QRBE.ar.vtt	1.5 KB
01. Introduction to Conditional Probability-Ok8948Wcbmo.zh-CN.vtt	1.6 KB
12. Two Coins 2-hoVOT8qcQ7c.pt-BR.vtt	1.6 KB
11. Two Coins 1-QIQBb4nLsHc.th.vtt	1.6 KB
12. Two Coins 2-hoVOT8qcQ7c.zh-CN.vtt	1.6 KB
10. Total Probability-YSYpzFR4k1I.ja.vtt	1.6 KB
12. Two Coins 2-hoVOT8qcQ7c.en.vtt	1.7 KB
12. Two Coins 2-tI0J14yQr1s.th.vtt	1.7 KB
12. Two Coins 2-hoVOT8qcQ7c.ja.vtt	1.7 KB
14. Two Coins 4-9R44IyZ-aQI.ar.vtt	1.7 KB
12. Two Coins 2-hoVOT8qcQ7c.es-ES.vtt	1.8 KB
01. Introduction to Conditional Probability-Ok8948Wcbmo.en.vtt	1.8 KB
10. Total Probability-YSYpzFR4k1I.zh-CN.vtt	1.8 KB
12. Two Coins 2-hoVOT8qcQ7c.it.vtt	1.8 KB
13. Two Coins 3-JIWv5fU3GLA.zh-CN.vtt	1.8 KB
10. Total Probability-YSYpzFR4k1I.pt-BR.vtt	1.8 KB
04. Medical Example 3-Iz4ViIg9ZlQ.th.vtt	1.8 KB
13. Two Coins 3-JIWv5fU3GLA.pt-BR.vtt	1.9 KB
13. Two Coins 3-GO6kbL3QRBE.th.vtt	1.9 KB
13. Two Coins 3-JIWv5fU3GLA.ja.vtt	1.9 KB
01. Introduction to Conditional Probability-Ok8948Wcbmo.pt-BR.vtt	1.9 KB
10. Total Probability-YSYpzFR4k1I.en.vtt	1.9 KB
10. Total Probability-YSYpzFR4k1I.es-ES.vtt	2.0 KB
10. Total Probability-YSYpzFR4k1I.it.vtt	2.0 KB
13. Two Coins 3-JIWv5fU3GLA.en.vtt	2.1 KB
13. Two Coins 3-JIWv5fU3GLA.es-ES.vtt	2.2 KB
13. Two Coins 3-JIWv5fU3GLA.it.vtt	2.2 KB
12. Two Coins 2-hoVOT8qcQ7c.ar.vtt	2.2 KB
14. Two Coins 4-9R44IyZ-aQI.th.vtt	2.3 KB
01. Introduction to Conditional Probability-Ok8948Wcbmo.ar.vtt	2.4 KB
15. Summary-yepMH9VswI8.ja.vtt	2.4 KB
03. Medical Example 2-FV_hc3MzS_8.zh-CN.vtt	2.5 KB
15. Summary-yepMH9VswI8.zh-CN.vtt	2.5 KB
15. Summary-yepMH9VswI8.pt-BR.vtt	2.5 KB
13. Two Coins 3-JIWv5fU3GLA.ar.vtt	2.5 KB
10. Total Probability-YSYpzFR4k1I.ar.vtt	2.5 KB
15. Summary-yepMH9VswI8.en.vtt	2.7 KB
03. Medical Example 2-FV_hc3MzS_8.ja.vtt	2.8 KB
03. Medical Example 2-FV_hc3MzS_8.en.vtt	2.9 KB
15. Summary-yepMH9VswI8.es-ES.vtt	2.9 KB
15. Summary-yepMH9VswI8.it.vtt	2.9 KB
03. Medical Example 2-FV_hc3MzS_8.es-ES.vtt	3.1 KB
03. Medical Example 2-FV_hc3MzS_8.it.vtt	3.1 KB
03. Medical Example 2-FV_hc3MzS_8.pt-BR.vtt	3.2 KB
12. Two Coins 2-hoVOT8qcQ7c.th.vtt	3.3 KB
10. Total Probability-YSYpzFR4k1I.th.vtt	3.5 KB
15. Summary-yepMH9VswI8.ar.vtt	3.6 KB
13. Two Coins 3-JIWv5fU3GLA.th.vtt	3.6 KB
03. Medical Example 2-FV_hc3MzS_8.ar.vtt	4.0 KB
index.html	4.7 KB
15. Summary-yepMH9VswI8.th.vtt	4.7 KB
03. Medical Example 2-FV_hc3MzS_8.th.vtt	5.5 KB
01. Introduction to Conditional Probability.html	6.5 KB
15. Summary.html	6.7 KB
10. Total Probability.html	6.8 KB
16. Text Summary.html	7.2 KB
04. Medical Example 3.html	8.5 KB
02. Medical Example 1.html	8.6 KB
03. Medical Example 2.html	8.6 KB
06. Medical Example 5.html	8.6 KB
07. Medical Example 6.html	8.6 KB
05. Medical Example 4.html	8.6 KB
12. Two Coins 2.html	8.7 KB
13. Two Coins 3.html	8.7 KB
14. Two Coins 4.html	8.8 KB
11. Two Coins 1.html	8.8 KB
08. Medical Example 7.html	8.8 KB
09. Medical Example 8.html	8.8 KB
06. Medical Example 5-fqt7NIvMB0s.mp4	541.6 KB
07. Medical Example 6-iyE5h48qPFQ.mp4	655.0 KB
02. Medical Example 1-E1ph6NP3_v4.mp4	765.1 KB
08. Medical Example 7-cw_zgQbAWNU.mp4	823.0 KB
08. Medical Example 7-jPspIs-fNxg.mp4	1.4 MB
11. Two Coins 1-SYnYIjLpbjE.mp4	1.5 MB
07. Medical Example 6--lC9xztr4zA.mp4	1.8 MB
05. Medical Example 4-pL8Bf6tck_A.mp4	1.8 MB
09. Medical Example 8-7k5oAaZamCA.mp4	2.1 MB
04. Medical Example 3-Rf6WfB_1EJQ.mp4	2.2 MB
05. Medical Example 4-udduksMWMB4.mp4	2.4 MB
06. Medical Example 5-ys9w-NNKCcU.mp4	2.5 MB
03. Medical Example 2-VLLG0rYC7To.mp4	2.6 MB
02. Medical Example 1-mFfbts1lAEo.mp4	2.8 MB
09. Medical Example 8-btGdX0ZpkNU.mp4	3.7 MB
12. Two Coins 2-tI0J14yQr1s.mp4	4.7 MB
11. Two Coins 1-QIQBb4nLsHc.mp4	4.8 MB
14. Two Coins 4-cDub-OOrIRE.mp4	5.0 MB
13. Two Coins 3-GO6kbL3QRBE.mp4	5.6 MB
01. Introduction to Conditional Probability-Ok8948Wcbmo.mp4	6.9 MB
04. Medical Example 3-Iz4ViIg9ZlQ.mp4	6.9 MB
14. Two Coins 4-9R44IyZ-aQI.mp4	8.6 MB
12. Two Coins 2-hoVOT8qcQ7c.mp4	11.5 MB
10. Total Probability-YSYpzFR4k1I.mp4	12.1 MB
13. Two Coins 3-JIWv5fU3GLA.mp4	13.5 MB
15. Summary-yepMH9VswI8.mp4	16.6 MB
03. Medical Example 2-FV_hc3MzS_8.mp4	23.1 MB
/Part 12-Module 01-Lesson 16_Logistic Regression/
25. False Negatives in Eigenfaces-dyShKWpTo-c.pt-BR.vtt	0.1 KB
25. False Negatives in Eigenfaces-dyShKWpTo-c.en.vtt	0.1 KB
16. How Many Schroeders-jO81hfubpXY.en.vtt	0.1 KB
16. How Many Schroeders-T2dveKB64Ho.zh-CN.vtt	0.1 KB
16. How Many Schroeders-jO81hfubpXY.zh-CN.vtt	0.2 KB
16. How Many Schroeders-jO81hfubpXY.pt-BR.vtt	0.2 KB
15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.zh-CN.vtt	0.2 KB
11. Confusion Matrix Practice 1-Nn_8kCRYn2k.zh-CN.vtt	0.2 KB
24. False Positives in Eigenfaces-0bEbJ33dUis.en.vtt	0.2 KB
16. How Many Schroeders-T2dveKB64Ho.pt-BR.vtt	0.2 KB
15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.pt-BR.vtt	0.2 KB
24. False Positives in Eigenfaces-0bEbJ33dUis.pt-BR.vtt	0.2 KB
15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.en.vtt	0.2 KB
11. Confusion Matrix Practice 1-Nn_8kCRYn2k.pt-BR.vtt	0.2 KB
16. How Many Schroeders-T2dveKB64Ho.en.vtt	0.2 KB
26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.zh-CN.vtt	0.2 KB
11. Confusion Matrix Practice 1-Nn_8kCRYn2k.en.vtt	0.2 KB
26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.en.vtt	0.2 KB
24. False Positives in Eigenfaces-0bEbJ33dUis.zh-CN.vtt	0.2 KB
26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.pt-BR.vtt	0.2 KB
15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.ar.vtt	0.2 KB
22. Bush Precision and Recall-8fM13xqU2a8.pt-BR.vtt	0.2 KB
22. Bush Precision and Recall-8fM13xqU2a8.zh-CN.vtt	0.2 KB
22. Bush Precision and Recall-8fM13xqU2a8.en.vtt	0.2 KB
24. False Positives in Eigenfaces-0bEbJ33dUis.ar.vtt	0.2 KB
11. Confusion Matrix Practice 1-Nn_8kCRYn2k.ar.vtt	0.2 KB
26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.ar.vtt	0.2 KB
23. True Positives in Eigenfaces-TWGqylKdGWs.zh-CN.vtt	0.2 KB
16. How Many Schroeders-T2dveKB64Ho.ar.vtt	0.2 KB
17. How Many Schroeder Predictions-r8stm2et_hI.zh-CN.vtt	0.3 KB
23. True Positives in Eigenfaces-TWGqylKdGWs.en.vtt	0.3 KB
11. Confusion Matrix Practice 1-obhHCeHpysw.zh-CN.vtt	0.3 KB
23. True Positives in Eigenfaces-TWGqylKdGWs.pt-BR.vtt	0.3 KB
22. Bush Precision and Recall-8fM13xqU2a8.ar.vtt	0.3 KB
17. How Many Schroeder Predictions-r8stm2et_hI.en.vtt	0.3 KB
17. How Many Schroeder Predictions-r8stm2et_hI.pt-BR.vtt	0.3 KB
10. Confusion Matrices-bEAaNv-CBQ4.zh-CN.vtt	0.3 KB
28. Equation for Recall-2cUiqlbt-hc.zh-CN.vtt	0.3 KB
26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.zh-CN.vtt	0.3 KB
11. Confusion Matrix Practice 1-obhHCeHpysw.en.vtt	0.3 KB
24. False Positives in Eigenfaces-CMIM_Ocu8vg.zh-CN.vtt	0.3 KB
10. Confusion Matrices-bEAaNv-CBQ4.en.vtt	0.3 KB
28. Equation for Recall-2cUiqlbt-hc.pt-BR.vtt	0.3 KB
28. Equation for Recall-2cUiqlbt-hc.en.vtt	0.3 KB
11. Confusion Matrix Practice 1-obhHCeHpysw.pt-BR.vtt	0.3 KB
10. Confusion Matrices-bEAaNv-CBQ4.pt-BR.vtt	0.3 KB
12. Confusion Matrix Practice 2-XN1eS7boCNg.en.vtt	0.3 KB
17. How Many Schroeder Predictions-r8stm2et_hI.ar.vtt	0.3 KB
23. True Positives in Eigenfaces-TWGqylKdGWs.ar.vtt	0.3 KB
21. Powell Precision and Recall-QWWq77k-K_0.zh-CN.vtt	0.3 KB
12. Confusion Matrix Practice 2-XN1eS7boCNg.zh-CN.vtt	0.3 KB
26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.en.vtt	0.3 KB
26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.pt-BR.vtt	0.3 KB
12. Confusion Matrix Practice 2-XN1eS7boCNg.pt-BR.vtt	0.3 KB
21. Powell Precision and Recall-QWWq77k-K_0.en.vtt	0.3 KB
24. False Positives in Eigenfaces-CMIM_Ocu8vg.en.vtt	0.4 KB
19. Classifying Chavez Correctly 2-HWW9BNHnPo0.zh-CN.vtt	0.4 KB
10. Confusion Matrices-bEAaNv-CBQ4.ar.vtt	0.4 KB
24. False Positives in Eigenfaces-CMIM_Ocu8vg.pt-BR.vtt	0.4 KB
12. Confusion Matrix Practice 2-HAQ0-Skvzmc.zh-CN.vtt	0.4 KB
21. Powell Precision and Recall-QWWq77k-K_0.pt-BR.vtt	0.4 KB
13. Filling in a Confusion Matrix-FwaYsmnlLM4.zh-CN.vtt	0.4 KB
19. Classifying Chavez Correctly 2-HWW9BNHnPo0.en.vtt	0.4 KB
11. Confusion Matrix Practice 1-obhHCeHpysw.ar.vtt	0.4 KB
12. Confusion Matrix Practice 2-HAQ0-Skvzmc.en.vtt	0.4 KB
19. Classifying Chavez Correctly 2-hqO8kxRJdd4.zh-CN.vtt	0.4 KB
12. Confusion Matrix Practice 2-XN1eS7boCNg.ar.vtt	0.4 KB
12. Confusion Matrix Practice 2-HAQ0-Skvzmc.pt-BR.vtt	0.4 KB
19. Classifying Chavez Correctly 2-HWW9BNHnPo0.pt-BR.vtt	0.4 KB
28. Equation for Recall-2cUiqlbt-hc.ar.vtt	0.4 KB
21. Powell Precision and Recall-QWWq77k-K_0.ar.vtt	0.4 KB
13. Filling in a Confusion Matrix-Lb_v4vj3TNs.zh-CN.vtt	0.4 KB
25. False Negatives in Eigenfaces-bxDutNyYKjE.zh-CN.vtt	0.4 KB
13. Filling in a Confusion Matrix-FwaYsmnlLM4.en.vtt	0.4 KB
18. Classifying Chavez Correctly 1-0PFq8zoaNWU.zh-CN.vtt	0.5 KB
24. False Positives in Eigenfaces-CMIM_Ocu8vg.ar.vtt	0.5 KB
26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.ar.vtt	0.5 KB
18. Classifying Chavez Correctly 1-Jbqf8OBORDg.zh-CN.vtt	0.5 KB
19. Classifying Chavez Correctly 2-hqO8kxRJdd4.en.vtt	0.5 KB
25. False Negatives in Eigenfaces-bxDutNyYKjE.en.vtt	0.5 KB
19. Classifying Chavez Correctly 2-HWW9BNHnPo0.ar.vtt	0.5 KB
25. False Negatives in Eigenfaces-bxDutNyYKjE.en-US.vtt	0.5 KB
33. Congrats-Qy8VYdqoxGA.zh-CN.vtt	0.5 KB
13. Filling in a Confusion Matrix-FwaYsmnlLM4.pt-BR.vtt	0.5 KB
19. Classifying Chavez Correctly 2-hqO8kxRJdd4.en-US.vtt	0.5 KB
19. Classifying Chavez Correctly 2-hqO8kxRJdd4.pt-BR.vtt	0.5 KB
18. Classifying Chavez Correctly 1-Jbqf8OBORDg.pt-BR.vtt	0.5 KB
17. How Many Schroeder Predictions-n7gp8USw0Jw.zh-CN.vtt	0.5 KB
13. Filling in a Confusion Matrix-Lb_v4vj3TNs.en.vtt	0.5 KB
27. Equation for Precision-CStZqZRe6Mk.zh-CN.vtt	0.5 KB
14. Confusion Matrix False Alarms-611qWzIxGmU.zh-CN.vtt	0.5 KB
18. Classifying Chavez Correctly 1-Jbqf8OBORDg.en.vtt	0.5 KB
25. False Negatives in Eigenfaces-bxDutNyYKjE.pt-BR.vtt	0.5 KB
13. Filling in a Confusion Matrix-Lb_v4vj3TNs.pt-BR.vtt	0.5 KB
18. Classifying Chavez Correctly 1-0PFq8zoaNWU.pt-BR.vtt	0.5 KB
14. Confusion Matrix False Alarms-611qWzIxGmU.en.vtt	0.5 KB
12. Confusion Matrix Practice 2-HAQ0-Skvzmc.ar.vtt	0.5 KB
18. Classifying Chavez Correctly 1-0PFq8zoaNWU.en.vtt	0.5 KB
28. Equation for Recall-j2SP83afRS0.zh-CN.vtt	0.6 KB
17. How Many Schroeder Predictions-n7gp8USw0Jw.pt-BR.vtt	0.6 KB
33. Congrats-Qy8VYdqoxGA.en.vtt	0.6 KB
14. Confusion Matrix False Alarms-611qWzIxGmU.pt-BR.vtt	0.6 KB
17. How Many Schroeder Predictions-n7gp8USw0Jw.en.vtt	0.6 KB
33. Congrats-Qy8VYdqoxGA.pt-BR.vtt	0.6 KB
13. Filling in a Confusion Matrix-FwaYsmnlLM4.ar.vtt	0.6 KB
27. Equation for Precision-CStZqZRe6Mk.en.vtt	0.6 KB
27. Equation for Precision-CStZqZRe6Mk.en-US.vtt	0.6 KB
27. Equation for Precision-CStZqZRe6Mk.pt-BR.vtt	0.6 KB
28. Equation for Recall-j2SP83afRS0.en.vtt	0.7 KB
25. False Negatives in Eigenfaces-bxDutNyYKjE.ar.vtt	0.7 KB
18. Classifying Chavez Correctly 1-0PFq8zoaNWU.ar.vtt	0.7 KB
19. Classifying Chavez Correctly 2-hqO8kxRJdd4.ar.vtt	0.7 KB
13. Filling in a Confusion Matrix-Lb_v4vj3TNs.ar.vtt	0.7 KB
14. Confusion Matrix False Alarms-611qWzIxGmU.ar.vtt	0.7 KB
28. Equation for Recall-j2SP83afRS0.pt-BR.vtt	0.7 KB
21. Powell Precision and Recall-q_zfkCwRg1w.zh-CN.vtt	0.7 KB
18. Classifying Chavez Correctly 1-Jbqf8OBORDg.ar.vtt	0.7 KB
21. Powell Precision and Recall-q_zfkCwRg1w.en.vtt	0.7 KB
21. Powell Precision and Recall-q_zfkCwRg1w.pt-BR.vtt	0.7 KB
17. How Many Schroeder Predictions-n7gp8USw0Jw.ar.vtt	0.7 KB
23. True Positives in Eigenfaces-bgT8sWuV2lc.zh-CN.vtt	0.8 KB
27. Equation for Precision-CStZqZRe6Mk.ar.vtt	0.8 KB
28. Equation for Recall-j2SP83afRS0.ar.vtt	0.9 KB
23. True Positives in Eigenfaces-bgT8sWuV2lc.pt-BR.vtt	0.9 KB
27. Equation for Precision-8QEAYYIyopY.zh-CN.vtt	0.9 KB
23. True Positives in Eigenfaces-bgT8sWuV2lc.en.vtt	0.9 KB
21. Powell Precision and Recall-q_zfkCwRg1w.ar.vtt	0.9 KB
27. Equation for Precision-8QEAYYIyopY.pt-BR.vtt	0.9 KB
20. Precision and Recall-3vT0kSBCLdU.zh-CN.vtt	1.0 KB
27. Equation for Precision-8QEAYYIyopY.en.vtt	1.0 KB
14. Confusion Matrix False Alarms-Uf_KdjVT2Xg.zh-CN.vtt	1.1 KB
20. Precision and Recall-3vT0kSBCLdU.en.vtt	1.1 KB
31. Final Thoughts On Shifting To Machine Learning-YkZFjZ3Fx8A.zh-CN.vtt	1.2 KB
20. Precision and Recall-3vT0kSBCLdU.pt-BR.vtt	1.2 KB
23. True Positives in Eigenfaces-bgT8sWuV2lc.ar.vtt	1.2 KB
09. Model Diagnostics-XsYFAtzF6e4.zh-CN.vtt	1.2 KB
22. Bush Precision and Recall-FLpXmoHp7eE.pt-BR.vtt	1.2 KB
22. Bush Precision and Recall-FLpXmoHp7eE.en.vtt	1.2 KB
14. Confusion Matrix False Alarms-Uf_KdjVT2Xg.en.vtt	1.2 KB
22. Bush Precision and Recall-FLpXmoHp7eE.zh-CN.vtt	1.3 KB
27. Equation for Precision-8QEAYYIyopY.ar.vtt	1.3 KB
14. Confusion Matrix False Alarms-Uf_KdjVT2Xg.pt-BR.vtt	1.3 KB
09. Model Diagnostics-XsYFAtzF6e4.en.vtt	1.3 KB
31. Final Thoughts On Shifting To Machine Learning-YkZFjZ3Fx8A.en.vtt	1.4 KB
09. Model Diagnostics-XsYFAtzF6e4.pt-BR.vtt	1.4 KB
20. Precision and Recall-3vT0kSBCLdU.ar.vtt	1.4 KB
10. Confusion Matrices-bgyN3RO2ICo.zh-CN.vtt	1.4 KB
01. Introduction to Logistic Regression-P_f2RjjnPEg.zh-CN.vtt	1.5 KB
10. Confusion Matrices-bgyN3RO2ICo.en.vtt	1.5 KB
10. Confusion Matrices-bgyN3RO2ICo.pt-BR.vtt	1.5 KB
31. Final Thoughts On Shifting To Machine Learning-YkZFjZ3Fx8A.pt-BR.vtt	1.5 KB
22. Bush Precision and Recall-FLpXmoHp7eE.ar.vtt	1.6 KB
01. Introduction to Logistic Regression-P_f2RjjnPEg.en.vtt	1.7 KB
06. Interpreting Results-UPOxxbKu6CQ.zh-CN.vtt	1.8 KB
14. Confusion Matrix False Alarms-Uf_KdjVT2Xg.ar.vtt	1.8 KB
10. Confusion Matrices-bgyN3RO2ICo.ar.vtt	1.9 KB
01. Introduction to Logistic Regression-P_f2RjjnPEg.pt-BR.vtt	2.0 KB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.zh-CN.vtt	2.1 KB
06. Interpreting Results-UPOxxbKu6CQ.en.vtt	2.1 KB
02. Fitting Logistic Regression-Dg0rBDQnIYg.zh-CN.vtt	2.2 KB
07. Interpreting Results in Python-IY88UTiJltQ.zh-CN.vtt	2.3 KB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.en.vtt	2.3 KB
06. Interpreting Results-UPOxxbKu6CQ.pt-BR.vtt	2.3 KB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.pt-BR.vtt	2.5 KB
02. Fitting Logistic Regression-Dg0rBDQnIYg.en.vtt	2.7 KB
07. Interpreting Results in Python-IY88UTiJltQ.en.vtt	2.7 KB
07. Interpreting Results in Python-IY88UTiJltQ.pt-BR.vtt	2.7 KB
04. Fitting Logistic Regression In Python-baQf-XiZQQ4.zh-CN.vtt	2.8 KB
02. Fitting Logistic Regression-Dg0rBDQnIYg.pt-BR.vtt	2.9 KB
04. Fitting Logistic Regression In Python-baQf-XiZQQ4.pt-BR.vtt	3.1 KB
04. Fitting Logistic Regression In Python-baQf-XiZQQ4.en.vtt	3.1 KB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.ar.vtt	3.3 KB
29. Model Diagnostics In Python-1Z4eorbfOOc.zh-CN.vtt	5.9 KB
29. Model Diagnostics In Python-1Z4eorbfOOc.pt-BR.vtt	6.4 KB
index.html	6.9 KB
29. Model Diagnostics In Python-1Z4eorbfOOc.en.vtt	6.9 KB
33. Video Congratulations.html	8.9 KB
06. Video Interpreting Results - Part I.html	9.0 KB
02. Video Fitting Logistic Regression.html	9.0 KB
01. Video Introduction.html	9.0 KB
07. Video (ScreenCast) Interpret Results - Part II.html	9.0 KB
04. Video Fitting Logistic Regression in Python.html	9.1 KB
31. Video Final Thoughts On Shifting to Machine Learning.html	9.1 KB
09. Video Model Diagnostics + Performance Metrics.html	9.5 KB
20. Precision and Recall.html	9.6 KB
32. Text Recap.html	10.2 KB
16. How Many Schroeders.html	10.2 KB
25. False Negatives in Eigenfaces.html	10.3 KB
23. True Positives in Eigenfaces.html	10.5 KB
24. False Positives in Eigenfaces.html	10.5 KB
17. How Many Schroeder Predictions.html	10.5 KB
18. Classifying Chavez Correctly 1.html	10.5 KB
19. Classifying Chavez Correctly 2.html	10.6 KB
10. Confusion Matrices.html	10.9 KB
28. Equation for Recall.html	10.9 KB
22. Bush Precision and Recall.html	11.0 KB
12. Confusion Matrix Practice 2.html	11.0 KB
11. Confusion Matrix Practice 1.html	11.0 KB
14. Confusion Matrix False Alarms.html	11.1 KB
03. Quiz Logistic Regression Quick Check.html	11.1 KB
27. Equation for Precision.html	11.1 KB
26. Practicing TP, FP, FN with Rumsfeld.html	11.1 KB
29. Screencast Model Diagnostics in Python - Part I.html	11.2 KB
21. Powell Precision and Recall.html	11.3 KB
13. Filling in a Confusion Matrix.html	11.3 KB
15. Confusion Matrix for Eigenfaces.html	11.7 KB
30. Notebook + Quiz Model Diagnostics.html	14.4 KB
05. Notebook + Quiz Fitting Logistic Regression in Python.html	14.9 KB
08. Notebook + Quiz Interpret Results.html	15.7 KB
25. False Negatives in Eigenfaces-dyShKWpTo-c.mp4	429.0 KB
24. False Positives in Eigenfaces-0bEbJ33dUis.mp4	514.1 KB
15. Confusion Matrix for Eigenfaces-jkjr_prWyt8.mp4	526.0 KB
16. How Many Schroeders-jO81hfubpXY.mp4	571.9 KB
11. Confusion Matrix Practice 1-Nn_8kCRYn2k.mp4	582.7 KB
28. Equation for Recall-2cUiqlbt-hc.mp4	737.8 KB
17. How Many Schroeder Predictions-r8stm2et_hI.mp4	784.0 KB
10. Confusion Matrices-bEAaNv-CBQ4.mp4	789.1 KB
22. Bush Precision and Recall-8fM13xqU2a8.mp4	793.6 KB
16. How Many Schroeders-T2dveKB64Ho.mp4	806.7 KB
26. Practicing TP, FP, FN with Rumsfeld-dBax3E1AC2s.mp4	811.8 KB
19. Classifying Chavez Correctly 2-HWW9BNHnPo0.mp4	907.7 KB
23. True Positives in Eigenfaces-TWGqylKdGWs.mp4	940.4 KB
12. Confusion Matrix Practice 2-XN1eS7boCNg.mp4	1.1 MB
24. False Positives in Eigenfaces-CMIM_Ocu8vg.mp4	1.1 MB
11. Confusion Matrix Practice 1-obhHCeHpysw.mp4	1.1 MB
13. Filling in a Confusion Matrix-FwaYsmnlLM4.mp4	1.2 MB
12. Confusion Matrix Practice 2-HAQ0-Skvzmc.mp4	1.2 MB
19. Classifying Chavez Correctly 2-hqO8kxRJdd4.mp4	1.2 MB
21. Powell Precision and Recall-QWWq77k-K_0.mp4	1.4 MB
25. False Negatives in Eigenfaces-bxDutNyYKjE.mp4	1.4 MB
18. Classifying Chavez Correctly 1-0PFq8zoaNWU.mp4	1.6 MB
26. Practicing TP, FP, FN with Rumsfeld-C3Fqiu6HJog.mp4	1.9 MB
18. Classifying Chavez Correctly 1-Jbqf8OBORDg.mp4	2.0 MB
13. Filling in a Confusion Matrix-Lb_v4vj3TNs.mp4	2.1 MB
28. Equation for Recall-j2SP83afRS0.mp4	2.3 MB
27. Equation for Precision-CStZqZRe6Mk.mp4	2.4 MB
17. How Many Schroeder Predictions-n7gp8USw0Jw.mp4	2.6 MB
14. Confusion Matrix False Alarms-611qWzIxGmU.mp4	2.7 MB
21. Powell Precision and Recall-q_zfkCwRg1w.mp4	2.9 MB
23. True Positives in Eigenfaces-bgT8sWuV2lc.mp4	3.2 MB
33. Congrats-Qy8VYdqoxGA.mp4	3.6 MB
27. Equation for Precision-8QEAYYIyopY.mp4	4.4 MB
20. Precision and Recall-3vT0kSBCLdU.mp4	4.5 MB
22. Bush Precision and Recall-FLpXmoHp7eE.mp4	4.6 MB
14. Confusion Matrix False Alarms-Uf_KdjVT2Xg.mp4	4.9 MB
09. Model Diagnostics-XsYFAtzF6e4.mp4	7.8 MB
31. Final Thoughts On Shifting To Machine Learning-YkZFjZ3Fx8A.mp4	7.9 MB
10. Confusion Matrices-bgyN3RO2ICo.mp4	8.0 MB
04. Fitting Logistic Regression In Python-baQf-XiZQQ4.mp4	10.2 MB
02. Fitting Logistic Regression-Dg0rBDQnIYg.mp4	10.2 MB
01. Introduction to Logistic Regression-P_f2RjjnPEg.mp4	11.3 MB
07. Interpreting Results in Python-IY88UTiJltQ.mp4	11.5 MB
06. Interpreting Results-UPOxxbKu6CQ.mp4	11.8 MB
15. Confusion Matrix for Eigenfaces--VxKwVvrNY0.mp4	15.3 MB
29. Model Diagnostics In Python-1Z4eorbfOOc.mp4	23.9 MB
/Part 12-Module 01-Lesson 04_Probability/
03. Fair Coin-fSKL742j-zk.ja.vtt	0.1 KB
03. Fair Coin-fSKL742j-zk.hr.vtt	0.2 KB
05. Loaded Coin 2-Y7tnbth-gag.hr.vtt	0.2 KB
05. Loaded Coin 2-Y7tnbth-gag.ja.vtt	0.2 KB
05. Loaded Coin 2-Y7tnbth-gag.zh-CN.vtt	0.2 KB
05. Loaded Coin 2-Y7tnbth-gag.it.vtt	0.2 KB
03. Fair Coin-fSKL742j-zk.pt-BR.vtt	0.2 KB
10. Two Flips 3-uimwo-puQWY.zh-CN.vtt	0.2 KB
03. Fair Coin-fSKL742j-zk.it.vtt	0.2 KB
05. Loaded Coin 2-Y7tnbth-gag.en.vtt	0.2 KB
05. Loaded Coin 2-Y7tnbth-gag.pt-BR.vtt	0.2 KB
05. Loaded Coin 2-Y7tnbth-gag.es-ES.vtt	0.2 KB
09. Two Flips 2-pT0FXiH_5nI.pt-BR.vtt	0.2 KB
03. Fair Coin-fSKL742j-zk.en.vtt	0.2 KB
04. Loaded Coin 1-sNvQeSikRFY.zh-CN.vtt	0.2 KB
03. Fair Coin-fSKL742j-zk.es-ES.vtt	0.2 KB
10. Two Flips 3-uimwo-puQWY.ja.vtt	0.2 KB
09. Two Flips 2-pT0FXiH_5nI.ja.vtt	0.2 KB
09. Two Flips 2-pT0FXiH_5nI.zh-CN.vtt	0.2 KB
03. Fair Coin-fSKL742j-zk.zh-CN.vtt	0.2 KB
10. Two Flips 3-uimwo-puQWY.hr.vtt	0.2 KB
09. Two Flips 2-pT0FXiH_5nI.en.vtt	0.2 KB
04. Loaded Coin 1-sNvQeSikRFY.ja.vtt	0.2 KB
04. Loaded Coin 1-sNvQeSikRFY.pt-BR.vtt	0.2 KB
09. Two Flips 2-pT0FXiH_5nI.hr.vtt	0.2 KB
09. Two Flips 2-pT0FXiH_5nI.ar.vtt	0.2 KB
11. Two Flips 4-rRPwknIDuI0.pt-BR.vtt	0.2 KB
10. Two Flips 3-uimwo-puQWY.en.vtt	0.2 KB
10. Two Flips 3-uimwo-puQWY.it.vtt	0.2 KB
04. Loaded Coin 1-sNvQeSikRFY.es-ES.vtt	0.2 KB
04. Loaded Coin 1-sNvQeSikRFY.it.vtt	0.2 KB
04. Loaded Coin 1-sNvQeSikRFY.hr.vtt	0.2 KB
09. Two Flips 2-pT0FXiH_5nI.it.vtt	0.2 KB
11. Two Flips 4-rRPwknIDuI0.ja.vtt	0.2 KB
11. Two Flips 4-rRPwknIDuI0.hr.vtt	0.2 KB
04. Loaded Coin 1-sNvQeSikRFY.en.vtt	0.2 KB
10. Two Flips 3-uimwo-puQWY.pt-BR.vtt	0.2 KB
05. Loaded Coin 2-Y7tnbth-gag.ar.vtt	0.2 KB
11. Two Flips 4-rRPwknIDuI0.zh-CN.vtt	0.2 KB
06. Loaded Coin 3-HohMRlmHoMQ.zh-CN.vtt	0.2 KB
06. Loaded Coin 3-HohMRlmHoMQ.en.vtt	0.2 KB
06. Loaded Coin 3-HohMRlmHoMQ.it.vtt	0.2 KB
06. Loaded Coin 3-HohMRlmHoMQ.es-ES.vtt	0.2 KB
06. Loaded Coin 3-HohMRlmHoMQ.hr.vtt	0.2 KB
11. Two Flips 4-rRPwknIDuI0.en.vtt	0.2 KB
06. Loaded Coin 3-P4uljJ_OP6I.ja.vtt	0.2 KB
06. Loaded Coin 3-P4uljJ_OP6I.zh-CN.vtt	0.2 KB
11. Two Flips 4-rRPwknIDuI0.it.vtt	0.2 KB
06. Loaded Coin 3-P4uljJ_OP6I.pt-BR.vtt	0.2 KB
11. Two Flips 4-rRPwknIDuI0.es-ES.vtt	0.3 KB
04. Loaded Coin 1-sNvQeSikRFY.th.vtt	0.3 KB
10. Two Flips 3-uimwo-puQWY.ar.vtt	0.3 KB
06. Loaded Coin 3-P4uljJ_OP6I.es-ES.vtt	0.3 KB
06. Loaded Coin 3-P4uljJ_OP6I.en.vtt	0.3 KB
06. Loaded Coin 3-HohMRlmHoMQ.ja.vtt	0.3 KB
04. Loaded Coin 1-sNvQeSikRFY.ar.vtt	0.3 KB
06. Loaded Coin 3-HohMRlmHoMQ.pt-BR.vtt	0.3 KB
05. Loaded Coin 2-Y7tnbth-gag.th.vtt	0.3 KB
03. Fair Coin-fSKL742j-zk.ar.vtt	0.3 KB
06. Loaded Coin 3-HohMRlmHoMQ.ar.vtt	0.3 KB
15. One Of Three 1-rxfHfjy9Mm4.zh-CN.vtt	0.3 KB
06. Loaded Coin 3-P4uljJ_OP6I.hr.vtt	0.3 KB
06. Loaded Coin 3-P4uljJ_OP6I.it.vtt	0.3 KB
15. One Of Three 1-rxfHfjy9Mm4.ja.vtt	0.3 KB
06. Loaded Coin 3-P4uljJ_OP6I.ar.vtt	0.3 KB
11. Two Flips 4-rRPwknIDuI0.ar.vtt	0.3 KB
15. One Of Three 1-rxfHfjy9Mm4.hr.vtt	0.3 KB
15. One Of Three 1-rxfHfjy9Mm4.en.vtt	0.3 KB
14. One Head 2-JHx3ucNS9f4.hr.vtt	0.3 KB
15. One Of Three 1-rxfHfjy9Mm4.it.vtt	0.3 KB
15. One Of Three 1-rxfHfjy9Mm4.es-ES.vtt	0.3 KB
14. One Head 2-JHx3ucNS9f4.zh-CN.vtt	0.3 KB
15. One Of Three 1-rxfHfjy9Mm4.pt-BR.vtt	0.3 KB
03. Fair Coin-fSKL742j-zk.th.vtt	0.3 KB
14. One Head 2-JHx3ucNS9f4.en.vtt	0.3 KB
12. Two Flips 5-G28YyiGFGWA.zh-CN.vtt	0.3 KB
12. Two Flips 5-G28YyiGFGWA.en.vtt	0.3 KB
14. One Head 2-JHx3ucNS9f4.pt-BR.vtt	0.4 KB
06. Loaded Coin 3-HohMRlmHoMQ.th.vtt	0.4 KB
14. One Head 2-JHx3ucNS9f4.ja.vtt	0.4 KB
10. Two Flips 3-uimwo-puQWY.th.vtt	0.4 KB
12. Two Flips 5-G28YyiGFGWA.es-ES.vtt	0.4 KB
12. Two Flips 5-G28YyiGFGWA.ja.vtt	0.4 KB
14. One Head 2-JHx3ucNS9f4.it.vtt	0.4 KB
12. Two Flips 5-G28YyiGFGWA.pt-BR.vtt	0.4 KB
10. Two Flips 3-3NSPqjp6pFY.zh-CN.vtt	0.4 KB
04. Loaded Coin 1-T0EjWSjLGjQ.zh-CN.vtt	0.4 KB
12. Two Flips 5-G28YyiGFGWA.it.vtt	0.4 KB
12. Two Flips 5-G28YyiGFGWA.hr.vtt	0.4 KB
04. Loaded Coin 1-T0EjWSjLGjQ.hr.vtt	0.4 KB
14. One Head 2-JHx3ucNS9f4.es-ES.vtt	0.4 KB
10. Two Flips 3-3NSPqjp6pFY.ja.vtt	0.4 KB
15. One Of Three 1-rxfHfjy9Mm4.ar.vtt	0.4 KB
04. Loaded Coin 1-T0EjWSjLGjQ.ja.vtt	0.4 KB
14. One Head 2-64EjAbqrtmo.ja.vtt	0.4 KB
04. Loaded Coin 1-T0EjWSjLGjQ.es-ES.vtt	0.4 KB
14. One Head 2-64EjAbqrtmo.zh-CN.vtt	0.4 KB
11. Two Flips 4-rRPwknIDuI0.th.vtt	0.4 KB
04. Loaded Coin 1-T0EjWSjLGjQ.en.vtt	0.4 KB
10. Two Flips 3-3NSPqjp6pFY.en.vtt	0.4 KB
10. Two Flips 3-3NSPqjp6pFY.it.vtt	0.4 KB
12. Two Flips 5-G28YyiGFGWA.ar.vtt	0.4 KB
04. Loaded Coin 1-T0EjWSjLGjQ.pt-BR.vtt	0.4 KB
04. Loaded Coin 1-T0EjWSjLGjQ.it.vtt	0.4 KB
14. One Head 2-JHx3ucNS9f4.ar.vtt	0.4 KB
06. Loaded Coin 3-P4uljJ_OP6I.th.vtt	0.4 KB
14. One Head 2-64EjAbqrtmo.hr.vtt	0.5 KB
10. Two Flips 3-3NSPqjp6pFY.hr.vtt	0.5 KB
10. Two Flips 3-3NSPqjp6pFY.es-ES.vtt	0.5 KB
14. One Head 2-64EjAbqrtmo.es-ES.vtt	0.5 KB
13. One Head 1-lHuZpDkfwq8.zh-CN.vtt	0.5 KB
08. Two Flips 1-yUIz7SgUwJg.en.vtt	0.5 KB
10. Two Flips 3-3NSPqjp6pFY.pt-BR.vtt	0.5 KB
14. One Head 2-64EjAbqrtmo.it.vtt	0.5 KB
14. One Head 2-64EjAbqrtmo.en.vtt	0.5 KB
12. Two Flips 5-HB8b7sZQFGs.pt-BR.vtt	0.5 KB
08. Two Flips 1-yUIz7SgUwJg.zh-CN.vtt	0.5 KB
17. Even Roll-M3L0a5V4Nf0.hr.vtt	0.5 KB
12. Two Flips 5-HB8b7sZQFGs.ja.vtt	0.5 KB
08. Two Flips 1-yUIz7SgUwJg.pt-BR.vtt	0.5 KB
08. Two Flips 1-yUIz7SgUwJg.hr.vtt	0.5 KB
18. Doubles-On_Guw8wac8.zh-CN.vtt	0.5 KB
08. Two Flips 1-yUIz7SgUwJg.ja.vtt	0.5 KB
08. Two Flips 1-yUIz7SgUwJg.es-ES.vtt	0.5 KB
02. Flipping Coins-lgUDXtUyLLg.zh-CN.vtt	0.5 KB
17. Even Roll-M3L0a5V4Nf0.zh-CN.vtt	0.5 KB
13. One Head 1-lHuZpDkfwq8.hr.vtt	0.5 KB
14. One Head 2-64EjAbqrtmo.pt-BR.vtt	0.5 KB
10. Two Flips 3-3NSPqjp6pFY.ar.vtt	0.5 KB
12. Two Flips 5-HB8b7sZQFGs.en.vtt	0.5 KB
08. Two Flips 1-yUIz7SgUwJg.it.vtt	0.6 KB
13. One Head 1-lHuZpDkfwq8.en.vtt	0.6 KB
12. Two Flips 5-HB8b7sZQFGs.zh-CN.vtt	0.6 KB
17. Even Roll-M3L0a5V4Nf0.en.vtt	0.6 KB
18. Doubles-On_Guw8wac8.hr.vtt	0.6 KB
12. Two Flips 5-HB8b7sZQFGs.es-ES.vtt	0.6 KB
18. Doubles-On_Guw8wac8.en.vtt	0.6 KB
02. Flipping Coins-lgUDXtUyLLg.pt-BR.vtt	0.6 KB
17. Even Roll-M3L0a5V4Nf0.it.vtt	0.6 KB
13. One Head 1-lHuZpDkfwq8.es-ES.vtt	0.6 KB
12. Two Flips 5-HB8b7sZQFGs.hr.vtt	0.6 KB
13. One Head 1-T4A5uyqesjo.zh-CN.vtt	0.6 KB
04. Loaded Coin 1-T0EjWSjLGjQ.th.vtt	0.6 KB
07. Complementary Outcomes-YseJqD-1oUg.zh-CN.vtt	0.6 KB
13. One Head 1-lHuZpDkfwq8.ja.vtt	0.6 KB
04. Loaded Coin 1-T0EjWSjLGjQ.ar.vtt	0.6 KB
18. Doubles-On_Guw8wac8.ja.vtt	0.6 KB
17. Even Roll-M3L0a5V4Nf0.ja.vtt	0.6 KB
13. One Head 1-T4A5uyqesjo.ja.vtt	0.6 KB
17. Even Roll-M3L0a5V4Nf0.pt-BR.vtt	0.6 KB
18. Doubles-On_Guw8wac8.pt-BR.vtt	0.6 KB
12. Two Flips 5-HB8b7sZQFGs.it.vtt	0.6 KB
13. One Head 1-T4A5uyqesjo.hr.vtt	0.6 KB
09. Two Flips 2-pT0FXiH_5nI.th.vtt	0.6 KB
18. Doubles-On_Guw8wac8.es-ES.vtt	0.6 KB
17. Even Roll-M3L0a5V4Nf0.es-ES.vtt	0.6 KB
02. Flipping Coins-lgUDXtUyLLg.ru.vtt	0.6 KB
02. Flipping Coins-lgUDXtUyLLg.ja.vtt	0.6 KB
13. One Head 1-T4A5uyqesjo.en.vtt	0.6 KB
13. One Head 1-lHuZpDkfwq8.it.vtt	0.6 KB
11. Two Flips 4-bNoS6LQEFrI.ja.vtt	0.6 KB
18. Doubles-On_Guw8wac8.it.vtt	0.6 KB
02. Flipping Coins-lgUDXtUyLLg.en.vtt	0.6 KB
02. Flipping Coins-lgUDXtUyLLg.hr.vtt	0.6 KB
07. Complementary Outcomes-YseJqD-1oUg.hr.vtt	0.6 KB
14. One Head 2-64EjAbqrtmo.ar.vtt	0.6 KB
13. One Head 1-lHuZpDkfwq8.pt-BR.vtt	0.6 KB
12. Two Flips 5-HB8b7sZQFGs.ar.vtt	0.7 KB
12. Two Flips 5-G28YyiGFGWA.th.vtt	0.7 KB
13. One Head 1-T4A5uyqesjo.it.vtt	0.7 KB
13. One Head 1-T4A5uyqesjo.es-ES.vtt	0.7 KB
11. Two Flips 4-bNoS6LQEFrI.zh-CN.vtt	0.7 KB
08. Two Flips 1-yUIz7SgUwJg.ar.vtt	0.7 KB
07. Complementary Outcomes-YseJqD-1oUg.ja.vtt	0.7 KB
07. Complementary Outcomes-YseJqD-1oUg.es-ES.vtt	0.7 KB
17. Even Roll-DrnAR4SqlEE.zh-CN.vtt	0.7 KB
14. One Head 2-JHx3ucNS9f4.th.vtt	0.7 KB
07. Complementary Outcomes-YseJqD-1oUg.en.vtt	0.7 KB
17. Even Roll-M3L0a5V4Nf0.ar.vtt	0.7 KB
02. Flipping Coins-lgUDXtUyLLg.es-ES.vtt	0.7 KB
11. Two Flips 4-bNoS6LQEFrI.hr.vtt	0.7 KB
02. Flipping Coins-lgUDXtUyLLg.it.vtt	0.7 KB
07. Complementary Outcomes-YseJqD-1oUg.pt-BR.vtt	0.7 KB
07. Complementary Outcomes-YseJqD-1oUg.it.vtt	0.7 KB
13. One Head 1-T4A5uyqesjo.pt-BR.vtt	0.7 KB
11. Two Flips 4-bNoS6LQEFrI.en.vtt	0.7 KB
13. One Head 1-lHuZpDkfwq8.ar.vtt	0.7 KB
11. Two Flips 4-bNoS6LQEFrI.pt-BR.vtt	0.7 KB
12. Two Flips 5-HB8b7sZQFGs.th.vtt	0.7 KB
11. Two Flips 4-bNoS6LQEFrI.it.vtt	0.7 KB
11. Two Flips 4-bNoS6LQEFrI.es-ES.vtt	0.7 KB
05. Loaded Coin 2-dGffszQYzqc.ja.vtt	0.8 KB
18. Doubles-On_Guw8wac8.ar.vtt	0.8 KB
15. One Of Three 1-rxfHfjy9Mm4.th.vtt	0.8 KB
09. Two Flips 2-uhrL5fatt3E.zh-CN.vtt	0.8 KB
17. Even Roll-DrnAR4SqlEE.hr.vtt	0.8 KB
02. Flipping Coins-lgUDXtUyLLg.ar.vtt	0.8 KB
05. Loaded Coin 2-dGffszQYzqc.zh-CN.vtt	0.8 KB
17. Even Roll-DrnAR4SqlEE.en.vtt	0.8 KB
03. Fair Coin-9LrlrexpW_o.zh-CN.vtt	0.8 KB
07. Complementary Outcomes-YseJqD-1oUg.ar.vtt	0.8 KB
13. One Head 1-T4A5uyqesjo.ar.vtt	0.8 KB
17. Even Roll-DrnAR4SqlEE.es-ES.vtt	0.9 KB
09. Two Flips 2-uhrL5fatt3E.hr.vtt	0.9 KB
05. Loaded Coin 2-dGffszQYzqc.pt-BR.vtt	0.9 KB
17. Even Roll-DrnAR4SqlEE.it.vtt	0.9 KB
17. Even Roll-DrnAR4SqlEE.ja.vtt	0.9 KB
05. Loaded Coin 2-dGffszQYzqc.en.vtt	0.9 KB
03. Fair Coin-9LrlrexpW_o.en.vtt	0.9 KB
05. Loaded Coin 2-dGffszQYzqc.es-ES.vtt	0.9 KB
09. Two Flips 2-uhrL5fatt3E.en.vtt	0.9 KB
03. Fair Coin-9LrlrexpW_o.pt-BR.vtt	0.9 KB
09. Two Flips 2-uhrL5fatt3E.ja.vtt	0.9 KB
11. Two Flips 4-bNoS6LQEFrI.ar.vtt	0.9 KB
16. One Of Three 2-27Ed1GI4j84.zh-CN.vtt	0.9 KB
03. Fair Coin-9LrlrexpW_o.ja.vtt	0.9 KB
16. One Of Three 2-gGgqTGZ9TKg.zh-CN.vtt	0.9 KB
17. Even Roll-DrnAR4SqlEE.pt-BR.vtt	0.9 KB
05. Loaded Coin 2-dGffszQYzqc.it.vtt	0.9 KB
16. One Of Three 2-27Ed1GI4j84.hr.vtt	0.9 KB
05. Loaded Coin 2-dGffszQYzqc.hr.vtt	0.9 KB
09. Two Flips 2-uhrL5fatt3E.it.vtt	0.9 KB
09. Two Flips 2-uhrL5fatt3E.es-ES.vtt	0.9 KB
16. One Of Three 2-27Ed1GI4j84.ja.vtt	0.9 KB
01. Introduction to Probability-HeoQccoqfTk.zh-CN.vtt	0.9 KB
16. One Of Three 2-gGgqTGZ9TKg.ja.vtt	1.0 KB
16. One Of Three 2-gGgqTGZ9TKg.hr.vtt	1.0 KB
03. Fair Coin-9LrlrexpW_o.hr.vtt	1.0 KB
03. Fair Coin-9LrlrexpW_o.es-ES.vtt	1.0 KB
15. One Of Three 1-bDCXSxkochE.zh-CN.vtt	1.0 KB
16. One Of Three 2-27Ed1GI4j84.en.vtt	1.0 KB
16. One Of Three 2-27Ed1GI4j84.es-ES.vtt	1.0 KB
03. Fair Coin-9LrlrexpW_o.it.vtt	1.0 KB
16. One Of Three 2-27Ed1GI4j84.it.vtt	1.0 KB
13. One Head 1-lHuZpDkfwq8.th.vtt	1.0 KB
16. One Of Three 2-gGgqTGZ9TKg.es-ES.vtt	1.0 KB
09. Two Flips 2-uhrL5fatt3E.pt-BR.vtt	1.0 KB
16. One Of Three 2-gGgqTGZ9TKg.it.vtt	1.0 KB
16. One Of Three 2-gGgqTGZ9TKg.en.vtt	1.0 KB
14. One Head 2-64EjAbqrtmo.th.vtt	1.0 KB
08. Two Flips 1-yUIz7SgUwJg.th.vtt	1.0 KB
16. One Of Three 2-gGgqTGZ9TKg.pt-BR.vtt	1.0 KB
18. Doubles-On_Guw8wac8.th.vtt	1.1 KB
17. Even Roll-DrnAR4SqlEE.ar.vtt	1.1 KB
05. Loaded Coin 2-dGffszQYzqc.ar.vtt	1.1 KB
01. Introduction to Probability-HeoQccoqfTk.en.vtt	1.1 KB
13. One Head 1-T4A5uyqesjo.th.vtt	1.1 KB
03. Fair Coin-9LrlrexpW_o.ar.vtt	1.1 KB
15. One Of Three 1-bDCXSxkochE.hr.vtt	1.2 KB
15. One Of Three 1-bDCXSxkochE.ja.vtt	1.2 KB
15. One Of Three 1-bDCXSxkochE.en.vtt	1.2 KB
02. Flipping Coins-lgUDXtUyLLg.th.vtt	1.2 KB
15. One Of Three 1-bDCXSxkochE.it.vtt	1.2 KB
15. One Of Three 1-bDCXSxkochE.es-ES.vtt	1.2 KB
09. Two Flips 2-uhrL5fatt3E.ar.vtt	1.2 KB
07. Complementary Outcomes-YseJqD-1oUg.th.vtt	1.2 KB
16. One Of Three 2-gGgqTGZ9TKg.ar.vtt	1.2 KB
01. Introduction to Probability-HeoQccoqfTk.pt-BR.vtt	1.3 KB
16. One Of Three 2-27Ed1GI4j84.ar.vtt	1.3 KB
19. Probability Conclusion-dsVKoXymYDU.zh-CN.vtt	1.3 KB
18. Doubles-fkUyTJNbdzU.zh-CN.vtt	1.3 KB
16. One Of Three 2-27Ed1GI4j84.pt-BR.vtt	1.3 KB
02. Flipping Coins-OpNufHYgJCg.ja.vtt	1.4 KB
02. Flipping Coins-OpNufHYgJCg.pt-BR.vtt	1.4 KB
02. Flipping Coins-OpNufHYgJCg.zh-CN.vtt	1.4 KB
15. One Of Three 1-bDCXSxkochE.pt-BR.vtt	1.4 KB
18. Doubles-fkUyTJNbdzU.hr.vtt	1.4 KB
01. Introduction to Probability-HeoQccoqfTk.ar.vtt	1.4 KB
18. Doubles-fkUyTJNbdzU.ja.vtt	1.4 KB
18. Doubles-fkUyTJNbdzU.en.vtt	1.5 KB
18. Doubles-fkUyTJNbdzU.it.vtt	1.5 KB
18. Doubles-fkUyTJNbdzU.es-ES.vtt	1.5 KB
08. Two Flips 1-1txkcmxk3vU.zh-CN.vtt	1.5 KB
02. Flipping Coins-OpNufHYgJCg.en.vtt	1.5 KB
02. Flipping Coins-OpNufHYgJCg.hr.vtt	1.5 KB
15. One Of Three 1-bDCXSxkochE.ar.vtt	1.5 KB
19. Probability Conclusion-dsVKoXymYDU.en.vtt	1.5 KB
18. Doubles-fkUyTJNbdzU.pt-BR.vtt	1.6 KB
02. Flipping Coins-OpNufHYgJCg.es-ES.vtt	1.6 KB
09. Two Flips 2-uhrL5fatt3E.th.vtt	1.6 KB
08. Two Flips 1-1txkcmxk3vU.ja.vtt	1.7 KB
02. Flipping Coins-OpNufHYgJCg.it.vtt	1.7 KB
08. Two Flips 1-1txkcmxk3vU.hr.vtt	1.7 KB
17. Even Roll-DrnAR4SqlEE.th.vtt	1.7 KB
19. Probability Conclusion-dsVKoXymYDU.pt-BR.vtt	1.7 KB
08. Two Flips 1-1txkcmxk3vU.en.vtt	1.8 KB
03. Fair Coin-9LrlrexpW_o.th.vtt	1.8 KB
08. Two Flips 1-1txkcmxk3vU.es-ES.vtt	1.8 KB
08. Two Flips 1-1txkcmxk3vU.it.vtt	1.9 KB
08. Two Flips 1-1txkcmxk3vU.pt-BR.vtt	2.0 KB
18. Doubles-fkUyTJNbdzU.ar.vtt	2.0 KB
19. Probability Conclusion-dsVKoXymYDU.ar.vtt	2.0 KB
16. One Of Three 2-gGgqTGZ9TKg.th.vtt	2.0 KB
02. Flipping Coins-OpNufHYgJCg.ar.vtt	2.1 KB
08. Two Flips 1-1txkcmxk3vU.ar.vtt	2.2 KB
18. Doubles-fkUyTJNbdzU.th.vtt	2.6 KB
15. One Of Three 1-bDCXSxkochE.th.vtt	2.8 KB
02. Flipping Coins-OpNufHYgJCg.th.vtt	2.9 KB
08. Two Flips 1-1txkcmxk3vU.th.vtt	3.4 KB
index.html	4.8 KB
19. Probability Conclusion.html	6.7 KB
01. Introduction to Probability.html	6.7 KB
07. Complementary Outcomes.html	7.3 KB
20. Text Recap + Next Steps.html	8.1 KB
09. Two Flips 2.html	8.9 KB
11. Two Flips 4.html	8.9 KB
18. Doubles.html	8.9 KB
05. Loaded Coin 2.html	8.9 KB
03. Fair Coin.html	9.0 KB
16. One Of Three 2.html	9.0 KB
13. One Head 1.html	9.0 KB
12. Two Flips 5.html	9.0 KB
08. Two Flips 1.html	9.0 KB
17. Even Roll.html	9.0 KB
06. Loaded Coin 3.html	9.0 KB
15. One Of Three 1.html	9.1 KB
04. Loaded Coin 1.html	9.3 KB
02. Flipping Coins.html	9.4 KB
10. Two Flips 3.html	9.7 KB
14. One Head 2.html	9.9 KB
09. Two Flips 2-pT0FXiH_5nI.mp4	320.1 KB
11. Two Flips 4-rRPwknIDuI0.mp4	679.3 KB
03. Fair Coin-fSKL742j-zk.mp4	817.0 KB
05. Loaded Coin 2-Y7tnbth-gag.mp4	824.8 KB
10. Two Flips 3-uimwo-puQWY.mp4	942.9 KB
12. Two Flips 5-HB8b7sZQFGs.mp4	1.0 MB
14. One Head 2-64EjAbqrtmo.mp4	1.1 MB
10. Two Flips 3-3NSPqjp6pFY.mp4	1.2 MB
04. Loaded Coin 1-sNvQeSikRFY.mp4	1.3 MB
06. Loaded Coin 3-P4uljJ_OP6I.mp4	1.4 MB
13. One Head 1-T4A5uyqesjo.mp4	1.6 MB
06. Loaded Coin 3-HohMRlmHoMQ.mp4	1.8 MB
15. One Of Three 1-rxfHfjy9Mm4.mp4	2.2 MB
12. Two Flips 5-G28YyiGFGWA.mp4	2.3 MB
14. One Head 2-JHx3ucNS9f4.mp4	2.4 MB
04. Loaded Coin 1-T0EjWSjLGjQ.mp4	2.8 MB
11. Two Flips 4-bNoS6LQEFrI.mp4	3.1 MB
09. Two Flips 2-uhrL5fatt3E.mp4	3.1 MB
05. Loaded Coin 2-dGffszQYzqc.mp4	3.5 MB
08. Two Flips 1-yUIz7SgUwJg.mp4	3.6 MB
18. Doubles-On_Guw8wac8.mp4	3.8 MB
13. One Head 1-lHuZpDkfwq8.mp4	3.8 MB
17. Even Roll-M3L0a5V4Nf0.mp4	4.1 MB
08. Two Flips 1-1txkcmxk3vU.mp4	4.2 MB
01. Introduction to Probability-HeoQccoqfTk.mp4	4.4 MB
07. Complementary Outcomes-YseJqD-1oUg.mp4	4.7 MB
02. Flipping Coins-lgUDXtUyLLg.mp4	4.8 MB
19. Probability Conclusion-dsVKoXymYDU.mp4	5.5 MB
16. One Of Three 2-gGgqTGZ9TKg.mp4	5.8 MB
17. Even Roll-DrnAR4SqlEE.mp4	6.0 MB
03. Fair Coin-9LrlrexpW_o.mp4	6.1 MB
15. One Of Three 1-bDCXSxkochE.mp4	9.5 MB
16. One Of Three 2-27Ed1GI4j84.mp4	11.8 MB
18. Doubles-fkUyTJNbdzU.mp4	11.8 MB
02. Flipping Coins-OpNufHYgJCg.mp4	11.9 MB
/Part 01-Module 01-Lesson 01_Welcome to the Data Scientist Nanodegree program/
07. Meet The Instructors-ndyjFUF2e9Q.en.vtt	0.2 KB
02. Projects-1-E_ZYovKeI.pt-BR.vtt	0.5 KB
02. Projects-1-E_ZYovKeI.en.vtt	0.5 KB
02. INTRODUÇÃO AO PROJETO PRINCIPAL V2---9IFCNBM6Y.zh-CN.vtt	1.2 KB
02. INTRODUÇÃO AO PROJETO PRINCIPAL V2---9IFCNBM6Y.en.vtt	1.3 KB
02. INTRODUÇÃO AO PROJETO PRINCIPAL V2---9IFCNBM6Y.pt-BR.vtt	1.5 KB
01. Welcome-SaSzn718doY.en.vtt	1.5 KB
13. Parting Words Of Encouragement-sFF_WOnpsXM.en.vtt	1.6 KB
01. Welcome-SaSzn718doY.pt-BR.vtt	1.7 KB
13. Parting Words Of Encouragement-sFF_WOnpsXM.pt-BR.vtt	1.7 KB
07. Meet The Instructors-ndyjFUF2e9Q.pt-BR.vtt	2.0 KB
02. Kaggle Project Final For Classroom-Ssttix340C8.pt-BR.vtt	3.0 KB
02. Kaggle Project Final For Classroom-Ssttix340C8.en.vtt	3.5 KB
02. Creating Customer Segmentation Arvato Project-VCChvqoK6Go.pt-BR.vtt	3.6 KB
02. Creating Customer Segmentation Arvato Project-VCChvqoK6Go.en.vtt	3.6 KB
10. Meet the Careers Team-cuKecPpZ7PM.en.vtt	3.7 KB
10. Meet the Careers Team-cuKecPpZ7PM.pt-BR.vtt	3.9 KB
index.html	4.6 KB
08. How to Succeed.html	5.9 KB
01. Welcome.html	5.9 KB
08. L1 06 How To Succeed REPLACEMENT-JRnZOZR97QQ.en.vtt	6.0 KB
07. Meet Your Instructors.html	6.0 KB
13. Words of Encouragement.html	6.0 KB
09. Careers Team Content.html	6.1 KB
04. Learning Plan - First Two Weeks.html	6.6 KB
05. Pre-assessment.html	6.9 KB
06. Extracurriculars.html	7.1 KB
11. Access Your Career Portal.html	7.2 KB
10. Meet the Careers Team.html	7.3 KB
12. Your Udacity Professional Profile.html	8.0 KB
02. Projects.html	8.9 KB
03. Program Structure Schedule.html	12.5 KB
02. Projects-1-E_ZYovKeI.mp4	888.1 KB
02. INTRODUÇÃO AO PROJETO PRINCIPAL V2---9IFCNBM6Y.mp4	3.0 MB
13. Parting Words Of Encouragement-sFF_WOnpsXM.mp4	4.9 MB
01. Welcome-SaSzn718doY.mp4	8.4 MB
10. Meet the Careers Team-cuKecPpZ7PM.mp4	10.6 MB
02. Kaggle Project Final For Classroom-Ssttix340C8.mp4	10.6 MB
07. Meet The Instructors-ndyjFUF2e9Q.mp4	15.1 MB
02. Creating Customer Segmentation Arvato Project-VCChvqoK6Go.mp4	17.2 MB
08. L1 06 How To Succeed REPLACEMENT-JRnZOZR97QQ.mp4	28.4 MB
/Part 14-Module 02-Lesson 01_Optimize Your GitHub Profile/
06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt	0.4 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt	0.4 KB
16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt	0.4 KB
08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt	0.4 KB
16. Starring interesting repositories-U3FUxkm1MxI.en.vtt	0.4 KB
08. Quick Fixes #2-It6AEuSDQw0.en.vtt	0.4 KB
13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt	0.4 KB
08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt	0.5 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt	0.5 KB
16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt	0.5 KB
12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt	0.5 KB
13. Participating in open source projects-OxL-gMTizUA.en.vtt	0.5 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt	0.5 KB
12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt	0.5 KB
12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt	0.5 KB
16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt	0.5 KB
13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt	0.6 KB
16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt	0.6 KB
08. Quick Fixes #2-It6AEuSDQw0.ar.vtt	0.6 KB
16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt	0.6 KB
12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt	0.7 KB
16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt	0.7 KB
13. Participating in open source projects-OxL-gMTizUA.ar.vtt	0.8 KB
16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt	0.8 KB
09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt	1.2 KB
09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt	1.3 KB
15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt	1.3 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt	1.3 KB
09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt	1.4 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt	1.4 KB
15. Participating in open source projects 2-elZCLxVvJrY.en.vtt	1.5 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt	1.5 KB
09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt	1.5 KB
02. Introduction-Vnj2VNQROtI.en.vtt	1.6 KB
02. Introduction-Vnj2VNQROtI.zh-CN.vtt	1.7 KB
15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt	1.7 KB
02. Introduction-Vnj2VNQROtI.pt-BR.vtt	1.8 KB
07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt	1.9 KB
07. Quick Fixes-Lb9e2KemR6I.en.vtt	1.9 KB
04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt	2.0 KB
04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt	2.0 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt	2.0 KB
07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt	2.1 KB
04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt	2.1 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt	2.1 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt	2.2 KB
15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt	2.2 KB
02. Introduction-Vnj2VNQROtI.ar.vtt	2.3 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt	2.5 KB
04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt	2.6 KB
07. Quick Fixes-Lb9e2KemR6I.ar.vtt	2.7 KB
03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt	2.7 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt	2.9 KB
03. GitHub profile important items-prvPVTjVkwQ.en.vtt	3.0 KB
03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt	3.2 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt	3.5 KB
14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt	3.8 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt	3.9 KB
03. GitHub profile important items-prvPVTjVkwQ.ar.vtt	4.0 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt	4.1 KB
14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt	4.2 KB
14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt	4.7 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt	4.7 KB
index.html	5.4 KB
14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt	5.5 KB
07. Quick Fixes #1.html	7.1 KB
04. Good GitHub repository.html	7.2 KB
14. Interview with Art - Part 3.html	7.2 KB
05. Interview with Art - Part 1.html	7.2 KB
10. Interview with Art - Part 2.html	7.2 KB
15. Participating in open source projects 2.html	7.3 KB
09. Writing READMEs with Walter.html	7.5 KB
02. Introduction.html	7.5 KB
03. GitHub profile important items.html	7.5 KB
13. Participating in open source projects.html	7.6 KB
17. Next Steps.html	7.7 KB
12. Reflect on your commit messages.html	7.8 KB
08. Quick Fixes #2.html	8.1 KB
16. Starring interesting repositories.html	8.7 KB
Project Rubric - Optimize Your GitHub Profile.html	9.2 KB
11. Commit messages best practices.html	9.6 KB
Project Description - Optimize Your GitHub Profile.html	9.7 KB
06. Identify fixes for example “bad” profile.html	10.2 KB
01. Prove Your Skills With GitHub.html	10.8 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4	583.0 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4	1.7 MB
08. Quick Fixes #2-It6AEuSDQw0.mp4	2.4 MB
16. Starring interesting repositories-U3FUxkm1MxI.mp4	2.6 MB
13. Participating in open source projects-OxL-gMTizUA.mp4	2.9 MB
12. Reflect on your commit messages-_0AHmKkfjTo.mp4	3.2 MB
15. Participating in open source projects 2-elZCLxVvJrY.mp4	3.5 MB
03. GitHub profile important items-prvPVTjVkwQ.mp4	3.5 MB
16. Starring interesting repositories-ZwMY5rAAd7Q.mp4	3.6 MB
04. Good GitHub repository-qBi8Q1EJdfQ.mp4	3.9 MB
07. Quick Fixes-Lb9e2KemR6I.mp4	4.2 MB
09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4	7.3 MB
02. Introduction-Vnj2VNQROtI.mp4	10.1 MB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4	13.8 MB
05. Interview with Art - Part 1-ClLYamtaO-Q.mp4	22.8 MB
14. Interview with Art - Part 3-M6PKr3S1rPg.mp4	26.3 MB
/Part 20-Module 01-Lesson 01_Neural Networks/
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt	0.4 KB
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt	0.4 KB
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt	0.4 KB
15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt	0.5 KB
16. Quiz - Softmax-NNoezNnAMTY.en.vtt	0.5 KB
16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt	0.5 KB
21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt	0.5 KB
16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt	0.5 KB
15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt	0.6 KB
15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt	0.6 KB
21. Formula For Cross 1-qvr_ego_d6w.en.vtt	0.6 KB
21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt	0.7 KB
13. Error Functions-YfUUunxWIJw.zh-CN.vtt	0.7 KB
13. Error Functions-YfUUunxWIJw.en.vtt	0.8 KB
13. Error Functions-YfUUunxWIJw.pt-BR.vtt	0.8 KB
19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt	0.8 KB
19. Quiz - Cross 1--xxrisIvD0E.en.vtt	0.9 KB
19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt	0.9 KB
08. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt	1.0 KB
08. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt	1.0 KB
08. XOR Perceptron-TF83GfjYLdw.en.vtt	1.0 KB
09. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt	1.2 KB
09. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt	1.3 KB
09. Why Neural Networks-zAkzOZntK6Y.en.vtt	1.4 KB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt	1.5 KB
18. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt	1.5 KB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt	1.5 KB
12. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt	1.5 KB
12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt	1.6 KB
04. Classification Example-46PywnGa_cQ.pt-BR.vtt	1.6 KB
18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt	1.7 KB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt	1.7 KB
18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt	1.7 KB
04. Classification Example-46PywnGa_cQ.zh-CN.vtt	1.7 KB
04. Classification Example-46PywnGa_cQ.en.vtt	1.8 KB
12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt	1.8 KB
17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt	2.1 KB
17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt	2.1 KB
19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt	2.1 KB
25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt	2.3 KB
17. One-Hot Encoding-AePvjhyvsBo.en.vtt	2.3 KB
19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt	2.3 KB
19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt	2.4 KB
16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt	2.4 KB
10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt	2.4 KB
03. Classsification Example-Dh625piH7Z0.zh-CN.vtt	2.4 KB
06. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt	2.4 KB
10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt	2.5 KB
08. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt	2.5 KB
03. Classsification Example-Dh625piH7Z0.pt-BR.vtt	2.6 KB
16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt	2.6 KB
25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt	2.6 KB
16. DL 18 S Softmax-n8S-v_LCTms.en.vtt	2.7 KB
25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt	2.7 KB
10. Perceptron Algorithm--zhTROHtscQ.en.vtt	2.7 KB
06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt	2.7 KB
03. Classsification Example-Dh625piH7Z0.en.vtt	2.8 KB
02. Introduction-tn-CrUTkCUc.zh-CN.vtt	2.9 KB
06. 09 Higher Dimensions-eBHunImDmWw.en.vtt	3.0 KB
08. AND And OR Perceptrons-45K5N0P9wJk.en.vtt	3.1 KB
02. Introduction-tn-CrUTkCUc.pt-BR.vtt	3.2 KB
08. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt	3.2 KB
11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt	3.4 KB
02. Introduction-tn-CrUTkCUc.en.vtt	3.4 KB
05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt	3.4 KB
11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt	3.5 KB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt	3.6 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt	3.7 KB
05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt	3.8 KB
18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt	3.8 KB
24. Gradient Descent-rhVIF-nigrY.en.vtt	3.9 KB
05. Linear Boundaries-X-uMlsBi07k.en.vtt	3.9 KB
24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt	4.1 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt	4.1 KB
20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt	4.2 KB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt	4.2 KB
23. Error Function-V5kkHldUlVU.zh-CN.vtt	4.2 KB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt	4.3 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt	4.3 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt	4.4 KB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt	4.5 KB
18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt	4.5 KB
18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt	4.6 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt	4.7 KB
15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt	4.8 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt	4.8 KB
20. Cross Entropy 1-iREoPUrpXvE.en.vtt	4.9 KB
23. Error Function-V5kkHldUlVU.en.vtt	5.0 KB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt	5.1 KB
20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt	5.1 KB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt	5.2 KB
23. Error Function-V5kkHldUlVU.pt-BR.vtt	5.3 KB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt	5.5 KB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt	5.7 KB
index.html	5.8 KB
15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt	5.8 KB
15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt	5.8 KB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt	6.0 KB
21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt	6.8 KB
29. Outro.html	7.3 KB
02. Introduction.html	7.7 KB
13. Error Functions.html	7.7 KB
17. One-Hot Encoding.html	7.7 KB
12. Non-Linear Regions.html	7.7 KB
09. Why Neural Networks.html	7.7 KB
04. Classification Problems 2.html	7.8 KB
25. Logistic Regression Algorithm.html	7.8 KB
01. Announcement.html	7.8 KB
20. Cross-Entropy 1.html	8.0 KB
21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt	8.0 KB
28. Perceptron vs Gradient Descent.html	8.1 KB
27. Notebook Gradient Descent.html	8.2 KB
21. CrossEntropy V1-1BnhC6e0TFw.en.vtt	8.2 KB
05. Linear Boundaries.html	8.5 KB
14. Error Functions-jfKShxGAbok.zh-CN.vtt	8.6 KB
07. Perceptrons.html	8.9 KB
22. Multi-Class Cross Entropy.html	8.9 KB
03. Classification Problems 1.html	8.9 KB
06. Higher Dimensions.html	9.0 KB
14. Error Functions-jfKShxGAbok.pt-BR.vtt	9.4 KB
14. Log-loss Error Function.html	9.4 KB
23. Logistic Regression.html	9.4 KB
26. Pre-Lab Gradient Descent.html	9.5 KB
19. Maximizing Probabilities.html	9.6 KB
14. Error Functions-jfKShxGAbok.en.vtt	9.7 KB
15. Discrete vs Continuous.html	10.0 KB
18. Maximum Likelihood.html	10.1 KB
21. Cross-Entropy 2.html	10.4 KB
10. Perceptron Trick.html	11.6 KB
16. Softmax.html	12.1 KB
11. Perceptron Algorithm.html	15.3 KB
24. Gradient Descent.html	15.9 KB
08. Perceptrons as Logical Operators.html	19.7 KB
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4	266.3 KB
08. XOR Perceptron-TF83GfjYLdw.mp4	969.7 KB
09. Why Neural Networks-zAkzOZntK6Y.mp4	1.0 MB
12. Non-Linear Regions-B8UrWnHh1Wc.mp4	1.4 MB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4	1.6 MB
04. Classification Example-46PywnGa_cQ.mp4	1.7 MB
17. One-Hot Encoding-AePvjhyvsBo.mp4	1.7 MB
16. Quiz - Softmax-NNoezNnAMTY.mp4	1.8 MB
19. Quiz Cross Entropy-njq6bYrPqSU.mp4	2.0 MB
10. Perceptron Algorithm--zhTROHtscQ.mp4	2.0 MB
16. DL 18 S Softmax-n8S-v_LCTms.mp4	2.0 MB
25. Gradient Descent Algorithm-snxmBgi_GeU.mp4	2.1 MB
03. Classsification Example-Dh625piH7Z0.mp4	2.2 MB
21. Formula For Cross 1-qvr_ego_d6w.mp4	2.2 MB
15. Discrete vs Continuous-rdP-RPDFkl0.mp4	2.4 MB
06. 09 Higher Dimensions-eBHunImDmWw.mp4	2.7 MB
08. AND And OR Perceptrons-45K5N0P9wJk.mp4	2.8 MB
11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4	3.0 MB
19. Quiz - Cross 1--xxrisIvD0E.mp4	3.2 MB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4	3.4 MB
29. Neural Networks Outro V2-pwA5shUkRVc.mp4	3.5 MB
13. Error Functions-YfUUunxWIJw.mp4	3.7 MB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4	3.8 MB
24. Gradient Descent-rhVIF-nigrY.mp4	3.9 MB
18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4	4.0 MB
05. Linear Boundaries-X-uMlsBi07k.mp4	4.0 MB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4	4.2 MB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4	4.3 MB
20. Cross Entropy 1-iREoPUrpXvE.mp4	4.4 MB
23. Error Function-V5kkHldUlVU.mp4	5.1 MB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4	5.4 MB
15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4	5.6 MB
18. Maximum Likelihood 1-1yJx-QtlvNI.mp4	6.0 MB
21. CrossEntropy V1-1BnhC6e0TFw.mp4	6.9 MB
14. Error Functions-jfKShxGAbok.mp4	7.6 MB
02. Introduction-tn-CrUTkCUc.mp4	7.9 MB
/Part 02-Module 01-Lesson 03_Perceptron Algorithm/
08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt	0.4 KB
08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt	0.4 KB
08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt	0.4 KB
01. Perception Algorithm V2-ebIlG6Pqwas.zh-CN.vtt	0.9 KB
01. Perception Algorithm V2-ebIlG6Pqwas.pt-BR.vtt	0.9 KB
07. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt	1.0 KB
07. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt	1.0 KB
07. XOR Perceptron-TF83GfjYLdw.en.vtt	1.0 KB
01. Perception Algorithm V2-ebIlG6Pqwas.en.vtt	1.0 KB
03. Classification Example-46PywnGa_cQ.pt-BR.vtt	1.6 KB
03. Classification Example-46PywnGa_cQ.zh-CN.vtt	1.7 KB
03. Classification Example-46PywnGa_cQ.en.vtt	1.8 KB
08. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt	2.4 KB
02. Classsification Example-Dh625piH7Z0.zh-CN.vtt	2.4 KB
05. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt	2.4 KB
08. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt	2.5 KB
07. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt	2.5 KB
02. Classsification Example-Dh625piH7Z0.pt-BR.vtt	2.6 KB
08. Perceptron Algorithm--zhTROHtscQ.en.vtt	2.7 KB
05. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt	2.7 KB
02. Classsification Example-Dh625piH7Z0.en.vtt	2.8 KB
05. 09 Higher Dimensions-eBHunImDmWw.en.vtt	3.0 KB
07. AND And OR Perceptrons-45K5N0P9wJk.en.vtt	3.1 KB
07. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt	3.2 KB
09. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt	3.4 KB
04. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt	3.4 KB
09. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt	3.5 KB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt	3.6 KB
04. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt	3.8 KB
04. Linear Boundaries-X-uMlsBi07k.en.vtt	3.9 KB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt	4.2 KB
index.html	4.2 KB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt	4.3 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt	5.1 KB
10. Outro.html	5.7 KB
01. Intro.html	5.7 KB
03. Classification Problems 2.html	5.7 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt	5.7 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt	6.0 KB
04. Linear Boundaries.html	6.4 KB
06. Perceptrons.html	6.9 KB
02. Classification Problems 1.html	6.9 KB
05. Higher Dimensions.html	6.9 KB
08. Perceptron Trick.html	9.6 KB
09. Perceptron Algorithm.html	13.3 KB
07. Perceptrons as Logical Operators.html	17.7 KB
08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4	266.3 KB
07. XOR Perceptron-TF83GfjYLdw.mp4	969.7 KB
03. Classification Example-46PywnGa_cQ.mp4	1.7 MB
08. Perceptron Algorithm--zhTROHtscQ.mp4	2.0 MB
02. Classsification Example-Dh625piH7Z0.mp4	2.2 MB
05. 09 Higher Dimensions-eBHunImDmWw.mp4	2.7 MB
07. AND And OR Perceptrons-45K5N0P9wJk.mp4	2.8 MB
09. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4	3.0 MB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4	3.8 MB
04. Linear Boundaries-X-uMlsBi07k.mp4	4.0 MB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4	5.4 MB
01. Perception Algorithm V2-ebIlG6Pqwas.mp4	5.6 MB
/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt	0.4 KB
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt	0.4 KB
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt	0.4 KB
15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt	0.5 KB
16. Quiz - Softmax-NNoezNnAMTY.en.vtt	0.5 KB
16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt	0.5 KB
21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt	0.5 KB
16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt	0.5 KB
15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt	0.6 KB
15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt	0.6 KB
30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt	0.6 KB
21. Formula For Cross 1-qvr_ego_d6w.en.vtt	0.6 KB
30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt	0.6 KB
30. Non-Linear Data-F7ZiE8PQiSc.en.vtt	0.6 KB
21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt	0.7 KB
13. Error Functions-YfUUunxWIJw.zh-CN.vtt	0.7 KB
13. Error Functions-YfUUunxWIJw.en.vtt	0.8 KB
13. Error Functions-YfUUunxWIJw.pt-BR.vtt	0.8 KB
19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt	0.8 KB
19. Quiz - Cross 1--xxrisIvD0E.en.vtt	0.9 KB
19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt	0.9 KB
09. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt	1.0 KB
09. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt	1.0 KB
09. XOR Perceptron-TF83GfjYLdw.en.vtt	1.0 KB
31. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt	1.1 KB
29. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt	1.2 KB
08. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt	1.2 KB
08. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt	1.3 KB
31. Non-Linear Models-HWuBKCZsCo8.en.vtt	1.3 KB
29. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt	1.3 KB
29. Continuous Perceptrons-07-JJ-aGEfM.en.vtt	1.4 KB
08. Why Neural Networks-zAkzOZntK6Y.en.vtt	1.4 KB
31. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt	1.4 KB
34. Chain Rule-YAhIBOnbt54.zh-CN.vtt	1.5 KB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt	1.5 KB
18. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt	1.5 KB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt	1.5 KB
12. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt	1.5 KB
12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt	1.6 KB
04. Classification Example-46PywnGa_cQ.pt-BR.vtt	1.6 KB
18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt	1.7 KB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt	1.7 KB
18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt	1.7 KB
04. Classification Example-46PywnGa_cQ.zh-CN.vtt	1.7 KB
34. Chain Rule-YAhIBOnbt54.en.vtt	1.7 KB
33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt	1.7 KB
34. Chain Rule-YAhIBOnbt54.pt-BR.vtt	1.8 KB
04. Classification Example-46PywnGa_cQ.en.vtt	1.8 KB
12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt	1.8 KB
32. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt	1.9 KB
33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt	2.0 KB
17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt	2.1 KB
17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt	2.1 KB
19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt	2.1 KB
32. Multiclass Classification-uNTtvxwfox0.en.vtt	2.1 KB
32. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt	2.2 KB
33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt	2.2 KB
25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt	2.3 KB
17. One-Hot Encoding-AePvjhyvsBo.en.vtt	2.3 KB
19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt	2.3 KB
19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt	2.4 KB
16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt	2.4 KB
10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt	2.4 KB
03. Classsification Example-Dh625piH7Z0.zh-CN.vtt	2.4 KB
06. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt	2.4 KB
10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt	2.5 KB
09. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt	2.5 KB
03. Classsification Example-Dh625piH7Z0.pt-BR.vtt	2.6 KB
16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt	2.6 KB
25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt	2.6 KB
16. DL 18 S Softmax-n8S-v_LCTms.en.vtt	2.7 KB
25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt	2.7 KB
10. Perceptron Algorithm--zhTROHtscQ.en.vtt	2.7 KB
06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt	2.7 KB
03. Classsification Example-Dh625piH7Z0.en.vtt	2.8 KB
32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt	2.8 KB
02. Introduction-tn-CrUTkCUc.zh-CN.vtt	2.9 KB
34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt	3.0 KB
06. 09 Higher Dimensions-eBHunImDmWw.en.vtt	3.0 KB
09. AND And OR Perceptrons-45K5N0P9wJk.en.vtt	3.1 KB
32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt	3.1 KB
32. Layers-pg99FkXYK0M.zh-CN.vtt	3.1 KB
02. Introduction-tn-CrUTkCUc.pt-BR.vtt	3.2 KB
09. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt	3.2 KB
11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt	3.4 KB
02. Introduction-tn-CrUTkCUc.en.vtt	3.4 KB
32. Layers-pg99FkXYK0M.pt-BR.vtt	3.4 KB
32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt	3.4 KB
05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt	3.4 KB
32. Layers-pg99FkXYK0M.en.vtt	3.5 KB
34. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt	3.5 KB
34. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt	3.5 KB
11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt	3.5 KB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt	3.6 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt	3.7 KB
05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt	3.8 KB
18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt	3.8 KB
05. Linear Boundaries-X-uMlsBi07k.en.vtt	3.9 KB
24. Gradient Descent-rhVIF-nigrY.en.vtt	3.9 KB
24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt	4.1 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt	4.1 KB
20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt	4.2 KB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt	4.2 KB
23. Error Function-V5kkHldUlVU.zh-CN.vtt	4.2 KB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt	4.3 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt	4.3 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt	4.4 KB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt	4.5 KB
18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt	4.5 KB
18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt	4.6 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt	4.7 KB
32. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt	4.7 KB
15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt	4.8 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt	4.8 KB
20. Cross Entropy 1-iREoPUrpXvE.en.vtt	4.9 KB
23. Error Function-V5kkHldUlVU.en.vtt	5.0 KB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt	5.1 KB
20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt	5.1 KB
34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt	5.2 KB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt	5.2 KB
23. Error Function-V5kkHldUlVU.pt-BR.vtt	5.3 KB
32. Combinando modelos-Boy3zHVrWB4.en.vtt	5.4 KB
32. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt	5.4 KB
33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt	5.5 KB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt	5.5 KB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt	5.7 KB
15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt	5.8 KB
15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt	5.8 KB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt	6.0 KB
34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt	6.3 KB
33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt	6.3 KB
index.html	6.5 KB
34. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt	6.5 KB
34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt	6.7 KB
21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt	6.8 KB
33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt	6.9 KB
34. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt	7.3 KB
34. Backpropagation V2-1SmY3TZTyUk.en.vtt	7.4 KB
21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt	8.0 KB
21. CrossEntropy V1-1BnhC6e0TFw.en.vtt	8.2 KB
14. Error Functions-jfKShxGAbok.zh-CN.vtt	8.6 KB
02. Introduction.html	8.6 KB
37. Outro.html	8.6 KB
13. Error Functions.html	8.6 KB
30. Non-linear Data.html	8.6 KB
17. One-Hot Encoding.html	8.6 KB
31. Non-Linear Models.html	8.6 KB
12. Non-Linear Regions.html	8.6 KB
08. Why Neural Networks.html	8.6 KB
29. Continuous Perceptrons.html	8.6 KB
04. Classification Problems 2.html	8.6 KB
25. Logistic Regression Algorithm.html	8.7 KB
01. Instructor.html	8.7 KB
20. Cross-Entropy 1.html	8.8 KB
28. Perceptron vs Gradient Descent.html	9.0 KB
27. Notebook Gradient Descent.html	9.0 KB
36. Notebook Analyzing Student Data.html	9.0 KB
05. Linear Boundaries.html	9.3 KB
14. Error Functions-jfKShxGAbok.pt-BR.vtt	9.4 KB
35. Pre-Lab Analyzing Student Data.html	9.5 KB
14. Error Functions-jfKShxGAbok.en.vtt	9.7 KB
07. Perceptrons.html	9.8 KB
22. Multi-Class Cross Entropy.html	9.8 KB
03. Classification Problems 1.html	9.8 KB
06. Higher Dimensions.html	9.8 KB
33. Feedforward.html	9.9 KB
14. Log-loss Error Function.html	10.3 KB
23. Logistic Regression.html	10.3 KB
26. Pre-Lab Gradient Descent.html	10.4 KB
19. Maximizing Probabilities.html	10.5 KB
15. Discrete vs Continuous.html	10.9 KB
18. Maximum Likelihood.html	11.0 KB
21. Cross-Entropy 2.html	11.2 KB
10. Perceptron Trick.html	12.5 KB
34. Backpropagation.html	12.8 KB
16. Softmax.html	13.0 KB
32. Neural Network Architecture.html	13.4 KB
11. Perceptron Algorithm.html	16.2 KB
24. Gradient Descent.html	16.8 KB
09. Perceptrons as Logical Operators.html	20.6 KB
10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4	266.3 KB
09. XOR Perceptron-TF83GfjYLdw.mp4	969.7 KB
08. Why Neural Networks-zAkzOZntK6Y.mp4	1.0 MB
31. Non-Linear Models-HWuBKCZsCo8.mp4	1.2 MB
29. Continuous Perceptrons-07-JJ-aGEfM.mp4	1.2 MB
12. Non-Linear Regions-B8UrWnHh1Wc.mp4	1.4 MB
34. Chain Rule-YAhIBOnbt54.mp4	1.5 MB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4	1.6 MB
04. Classification Example-46PywnGa_cQ.mp4	1.7 MB
17. One-Hot Encoding-AePvjhyvsBo.mp4	1.7 MB
33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4	1.8 MB
16. Quiz - Softmax-NNoezNnAMTY.mp4	1.8 MB
19. Quiz Cross Entropy-njq6bYrPqSU.mp4	2.0 MB
32. Multiclass Classification-uNTtvxwfox0.mp4	2.0 MB
10. Perceptron Algorithm--zhTROHtscQ.mp4	2.0 MB
16. DL 18 S Softmax-n8S-v_LCTms.mp4	2.0 MB
25. Gradient Descent Algorithm-snxmBgi_GeU.mp4	2.1 MB
03. Classsification Example-Dh625piH7Z0.mp4	2.2 MB
21. Formula For Cross 1-qvr_ego_d6w.mp4	2.2 MB
30. Non-Linear Data-F7ZiE8PQiSc.mp4	2.2 MB
15. Discrete vs Continuous-rdP-RPDFkl0.mp4	2.4 MB
06. 09 Higher Dimensions-eBHunImDmWw.mp4	2.7 MB
09. AND And OR Perceptrons-45K5N0P9wJk.mp4	2.8 MB
32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4	3.0 MB
11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4	3.0 MB
19. Quiz - Cross 1--xxrisIvD0E.mp4	3.2 MB
32. Layers-pg99FkXYK0M.mp4	3.3 MB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4	3.4 MB
34. Calculating The Gradient 1 -tVuZDbUrzzI.mp4	3.5 MB
13. Error Functions-YfUUunxWIJw.mp4	3.7 MB
10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4	3.8 MB
24. Gradient Descent-rhVIF-nigrY.mp4	3.9 MB
18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4	4.0 MB
05. Linear Boundaries-X-uMlsBi07k.mp4	4.0 MB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4	4.2 MB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4	4.3 MB
20. Cross Entropy 1-iREoPUrpXvE.mp4	4.4 MB
32. Combinando modelos-Boy3zHVrWB4.mp4	5.0 MB
23. Error Function-V5kkHldUlVU.mp4	5.1 MB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4	5.4 MB
33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4	5.6 MB
15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4	5.6 MB
34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4	6.0 MB
18. Maximum Likelihood 1-1yJx-QtlvNI.mp4	6.0 MB
34. Backpropagation V2-1SmY3TZTyUk.mp4	6.8 MB
21. CrossEntropy V1-1BnhC6e0TFw.mp4	6.9 MB
14. Error Functions-jfKShxGAbok.mp4	7.6 MB
02. Introduction-tn-CrUTkCUc.mp4	7.9 MB
/Part 06-Module 01-Lesson 02_Data Types and Operators/
38. Conclusion-LLEZadlXM8A.zh-CN.vtt	0.4 KB
38. Conclusion-LLEZadlXM8A.pt-BR.vtt	0.4 KB
38. Conclusion-LLEZadlXM8A.en.vtt	0.4 KB
38. Conclusion-LLEZadlXM8A.ar.vtt	0.5 KB
35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.zh-CN.vtt	1.1 KB
35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.en.vtt	1.3 KB
35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.pt-BR.vtt	1.6 KB
05. Assignment Operators-p_qfzL-x3Cs.zh-CN.vtt	1.6 KB
05. Variables-7pxpUot4x0w.zh-CN.vtt	1.8 KB
05. Assignment Operators-p_qfzL-x3Cs.en.vtt	1.8 KB
25. L2 05 Lists Methods V1-WXkPm4rv6ng.zh-CN.vtt	1.9 KB
05. Assignment Operators-p_qfzL-x3Cs.pt-BR.vtt	2.1 KB
05. Variables-7pxpUot4x0w.en.vtt	2.1 KB
27. L2 04 Tuples V3-33xN-AbTMoc.zh-CN.vtt	2.1 KB
01. Introduction-4F7SC0C6tfQ.zh-CN.vtt	2.2 KB
29. L2 03 Sets V2-eIHNFgTFfnA.zh-CN.vtt	2.2 KB
25. L2 05 Lists Methods V1-WXkPm4rv6ng.en.vtt	2.2 KB
05. L2 04b Variables II V3-4IJqbP8vi6A.zh-CN.vtt	2.2 KB
29. L2 03 Sets V2-eIHNFgTFfnA.en.vtt	2.3 KB
25. L2 05 Lists Methods V1-WXkPm4rv6ng.pt-BR.vtt	2.3 KB
22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.pt-BR.vtt	2.4 KB
01. Introduction-4F7SC0C6tfQ.en.vtt	2.4 KB
05. L2 04b Variables II V3-4IJqbP8vi6A.en.vtt	2.5 KB
05. Assignment Operators-p_qfzL-x3Cs.ar.vtt	2.5 KB
05. Variables-7pxpUot4x0w.pt-BR.vtt	2.5 KB
10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.zh-CN.vtt	2.5 KB
29. L2 03 Sets V2-eIHNFgTFfnA.pt-BR.vtt	2.7 KB
08. Whitespace-UxkIwcOczQQ.zh-CN.vtt	2.7 KB
01. Introduction-4F7SC0C6tfQ.pt-BR.vtt	2.8 KB
27. L2 04 Tuples V3-33xN-AbTMoc.pt-BR.vtt	2.8 KB
31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.zh-CN.vtt	2.8 KB
05. Variables-7pxpUot4x0w.ar.vtt	2.9 KB
05. L2 04b Variables II V3-4IJqbP8vi6A.pt-BR.vtt	2.9 KB
10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.en.vtt	2.9 KB
16. Type Type Conversion-yN6Fam_vZrU.zh-CN.vtt	3.0 KB
22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.pt-BR.vtt	3.0 KB
02. Arithmetic Operators-M8TIOK2P2yw.zh-CN.vtt	3.0 KB
08. Whitespace-UxkIwcOczQQ.en.vtt	3.1 KB
01. Introduction-4F7SC0C6tfQ.ar.vtt	3.1 KB
19. String Methods-Bv7CAxVOONs.zh-CN.vtt	3.1 KB
16. Type Type Conversion-yN6Fam_vZrU.en.vtt	3.3 KB
08. Whitespace-UxkIwcOczQQ.pt-BR.vtt	3.3 KB
05. L2 04b Variables II V3-4IJqbP8vi6A.ar.vtt	3.4 KB
10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.pt-BR.vtt	3.4 KB
19. String Methods-Bv7CAxVOONs.en.vtt	3.5 KB
31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.en.vtt	3.5 KB
02. Arithmetic Operators-M8TIOK2P2yw.en.vtt	3.5 KB
19. String Methods-Bv7CAxVOONs.pt-BR.vtt	3.7 KB
16. Type Type Conversion-yN6Fam_vZrU.pt-BR.vtt	3.8 KB
02. Arithmetic Operators-M8TIOK2P2yw.pt-BR.vtt	3.8 KB
31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.pt-BR.vtt	3.9 KB
25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.zh-CN.vtt	3.9 KB
08. Whitespace-UxkIwcOczQQ.ar.vtt	4.1 KB
10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.ar.vtt	4.2 KB
08. Números inteiros e floats-MiJ1vfWp-Ts.zh-CN.vtt	4.4 KB
22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.pt-BR.vtt	4.4 KB
16. Type Type Conversion-yN6Fam_vZrU.ar.vtt	4.5 KB
25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.pt-BR.vtt	4.6 KB
19. String Methods-Bv7CAxVOONs.ar.vtt	4.7 KB
25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.en.vtt	4.7 KB
02. Arithmetic Operators-M8TIOK2P2yw.ar.vtt	4.8 KB
13. Strings-ySZDrs-nNqg.zh-CN.vtt	4.9 KB
08. Números inteiros e floats-MiJ1vfWp-Ts.en.vtt	4.9 KB
08. Números inteiros e floats-MiJ1vfWp-Ts.pt-BR.vtt	5.1 KB
13. Strings-ySZDrs-nNqg.en.vtt	5.3 KB
13. Strings-ySZDrs-nNqg.pt-BR.vtt	5.7 KB
08. Números inteiros e floats-MiJ1vfWp-Ts.ar.vtt	6.8 KB
index.html	7.1 KB
13. Strings-ySZDrs-nNqg.ar.vtt	7.4 KB
18. Solution Type and Type Conversion.html	9.3 KB
38. Conclusion.html	9.3 KB
37. Solution Compound Data Structions.html	9.5 KB
12. Solution Booleans, Comparison and Logical Operators.html	9.5 KB
04. Solution Arithmetic Operators.html	9.5 KB
33. Solution Dictionaries and Identity Operators.html	9.5 KB
15. Solution Strings.html	9.8 KB
01. Introduction.html	9.9 KB
02. Arithmetic Operators.html	10.4 KB
16. Type and Type Conversion.html	10.6 KB
24. Solution List and Membership Operators.html	10.7 KB
29. Sets.html	10.8 KB
27. Tuples.html	10.9 KB
21. Another String Method - Split.html	10.9 KB
35. Compound Data Structures.html	11.0 KB
07. Solution Variables and Assignment Operators.html	11.3 KB
11. Quiz Booleans, Comparison Operators, and Logical Operators.html	11.6 KB
10. Booleans, Comparison Operators, and Logical Operators.html	11.7 KB
31. Dictionaries and Identity Operators.html	12.0 KB
30. Quiz Sets.html	12.3 KB
13. Strings.html	12.4 KB
09. Quiz Integers and Floats.html	12.4 KB
03. Quiz Arithmetic Operators.html	12.8 KB
08. Integers and Floats.html	12.9 KB
20. String Methods.html	13.0 KB
25. List Methods.html	13.3 KB
19. String Methods.html	13.4 KB
28. Quiz Tuples.html	14.0 KB
34. Quiz More With Dictionaries.html	14.0 KB
06. Quiz Variables and Assignment Operators.html	14.4 KB
26. Quiz List Methods.html	14.5 KB
23. Quiz Lists and Membership Operators.html	14.7 KB
05. Variables and Assignment Operators.html	14.9 KB
39. Summary.html	15.0 KB
36. Quiz Compound Data Structures.html	15.5 KB
22. Lists and Membership Operators.html	15.9 KB
14. Quiz Strings.html	16.0 KB
17. Quiz Type and Type Conversion.html	16.2 KB
32. Quiz Dictionaries and Identity Operators.html	16.4 KB
38. Conclusion-LLEZadlXM8A.mp4	2.7 MB
27. L2 04 Tuples V3-33xN-AbTMoc.mp4	4.2 MB
35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4	4.4 MB
22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.mp4	5.1 MB
25. L2 05 Lists Methods V1-WXkPm4rv6ng.mp4	5.5 MB
22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.mp4	5.9 MB
29. L2 03 Sets V2-eIHNFgTFfnA.mp4	6.2 MB
22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.mp4	6.4 MB
16. Type Type Conversion-yN6Fam_vZrU.mp4	9.9 MB
05. Assignment Operators-p_qfzL-x3Cs.mp4	10.6 MB
31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4	11.2 MB
02. Arithmetic Operators-M8TIOK2P2yw.mp4	11.6 MB
01. Introduction-4F7SC0C6tfQ.mp4	13.9 MB
25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4	14.0 MB
05. Variables-7pxpUot4x0w.mp4	16.1 MB
08. Números inteiros e floats-MiJ1vfWp-Ts.mp4	16.2 MB
05. L2 04b Variables II V3-4IJqbP8vi6A.mp4	17.6 MB
13. Strings-ySZDrs-nNqg.mp4	18.1 MB
08. Whitespace-UxkIwcOczQQ.mp4	22.0 MB
10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4	22.7 MB
19. String Methods-Bv7CAxVOONs.mp4	24.9 MB
/Part 06-Module 01-Lesson 03_Control Flow/
34. Congrats!-vDoqpwCHxs4.zh-CN.vtt	0.4 KB
34. Congrats!-vDoqpwCHxs4.en.vtt	0.5 KB
34. Congrats!-vDoqpwCHxs4.pt-BR.vtt	0.6 KB
34. Congrats!-vDoqpwCHxs4.ar.vtt	0.7 KB
01. Introduction-eUrvACMMJ5w.zh-CN.vtt	0.9 KB
01. Introduction-eUrvACMMJ5w.en.vtt	0.9 KB
02. Indentation-G8qUNOTHtrM.zh-CN.vtt	1.0 KB
01. Introduction-eUrvACMMJ5w.pt-BR.vtt	1.1 KB
02. Indentation-G8qUNOTHtrM.en.vtt	1.1 KB
02. Indentation-G8qUNOTHtrM.pt-BR.vtt	1.3 KB
01. Introduction-eUrvACMMJ5w.ar.vtt	1.4 KB
02. Indentation-G8qUNOTHtrM.ar.vtt	1.6 KB
07. Truth Value Testing-e52uw7ejV8k.zh-CN.vtt	1.6 KB
07. Truth Value Testing-e52uw7ejV8k.en.vtt	1.8 KB
07. Truth Value Testing-e52uw7ejV8k.pt-BR.vtt	2.1 KB
07. Complex Boolean Expressions-gWmIKWgzFqI.zh-CN.vtt	2.2 KB
02. If Statements-jWiIUMrwPqA.zh-CN.vtt	2.4 KB
07. Complex Boolean Expressions-gWmIKWgzFqI.en.vtt	2.4 KB
28. Zip and Enumerate-bSJPzVArE7M.zh-CN.vtt	2.4 KB
07. Complex Boolean Expressions-gWmIKWgzFqI.pt-BR.vtt	2.5 KB
02. If Elif and Else-KZubH5XT0eU.zh-CN.vtt	2.6 KB
28. Zip and Enumerate-bSJPzVArE7M.en.vtt	2.6 KB
07. Good And Bad Examples-95oLh3WtdhY.zh-CN.vtt	2.6 KB
28. Zip and Enumerate-bSJPzVArE7M.pt-BR.vtt	2.7 KB
07. Truth Value Testing-e52uw7ejV8k.ar.vtt	2.7 KB
02. If Statements-jWiIUMrwPqA.en.vtt	2.8 KB
20. L3 08 While Loops V3-7Sf5tcPlKQw.zh-CN.vtt	2.9 KB
02. If Elif and Else-KZubH5XT0eU.en.vtt	2.9 KB
31. List Comprehensions-6qxo-NV9v_s.zh-CN.vtt	3.0 KB
07. Good And Bad Examples-95oLh3WtdhY.en.vtt	3.0 KB
31. List Comprehensions-6qxo-NV9v_s.en.vtt	3.0 KB
20. L3 08 While Loops V3-7Sf5tcPlKQw.en.vtt	3.1 KB
02. If Statements-jWiIUMrwPqA.pt-BR.vtt	3.2 KB
07. Complex Boolean Expressions-gWmIKWgzFqI.ar.vtt	3.2 KB
02. If Elif and Else-KZubH5XT0eU.pt-BR.vtt	3.3 KB
07. Good And Bad Examples-95oLh3WtdhY.pt-BR.vtt	3.4 KB
20. L3 08 While Loops V3-7Sf5tcPlKQw.pt-BR.vtt	3.5 KB
31. List Comprehensions-6qxo-NV9v_s.pt-BR.vtt	3.6 KB
28. Zip and Enumerate-bSJPzVArE7M.ar.vtt	3.7 KB
25. Break and Continue-F6qJAv9ts9Y.zh-CN.vtt	3.7 KB
25. Break and Continue-F6qJAv9ts9Y.en.vtt	4.0 KB
02. If Statements-jWiIUMrwPqA.ar.vtt	4.1 KB
02. If Elif and Else-KZubH5XT0eU.ar.vtt	4.2 KB
31. List Comprehensions-6qxo-NV9v_s.ar.vtt	4.2 KB
07. Good And Bad Examples-95oLh3WtdhY.ar.vtt	4.2 KB
25. Break and Continue-F6qJAv9ts9Y.pt-BR.vtt	4.5 KB
25. Break and Continue-F6qJAv9ts9Y.ar.vtt	6.0 KB
10. For Loops-UtX0PXSUCdY.zh-CN.vtt	6.3 KB
index.html	6.6 KB
10. For Loops-UtX0PXSUCdY.en.vtt	6.9 KB
10. For Loops-UtX0PXSUCdY.pt-BR.vtt	7.5 KB
34. Conclusion.html	8.7 KB
27. Solution Break, Continue.html	9.0 KB
12. Solution For Loops Practice.html	9.1 KB
01. Introduction.html	9.2 KB
22. Solution While Loops Practice.html	9.3 KB
19. Solution Iterating Through Dictionaries.html	9.5 KB
06. Solution Conditional Statements.html	9.8 KB
33. Solution List Comprehensions.html	9.8 KB
10. For Loops-UtX0PXSUCdY.ar.vtt	10.0 KB
26. Quiz Break, Continue.html	10.0 KB
24. Solution While Loops Quiz.html	10.2 KB
04. Solution Conditional Statements.html	10.2 KB
03. Practice Conditional Statements.html	10.4 KB
14. Solution For Loops Quiz.html	10.5 KB
20. While Loops.html	10.7 KB
31. List Comprehensions.html	10.8 KB
11. Practice For Loops.html	10.8 KB
28. Zip and Enumerate.html	10.9 KB
30. Solution Zip and Enumerate.html	11.2 KB
21. Practice While Loops.html	11.4 KB
09. Solution Boolean Expressions for Conditions.html	11.5 KB
17. Iterating Through Dictionaries with For Loops.html	11.6 KB
32. Quiz List Comprehensions.html	11.7 KB
25. Break, Continue.html	12.1 KB
05. Quiz Conditional Statements.html	12.4 KB
23. Quiz While Loops.html	13.2 KB
15. Quiz Match Inputs To Outputs.html	13.3 KB
16. Building Dictionaries.html	13.9 KB
18. Quiz Iterating Through Dictionaries.html	14.2 KB
10. For Loops.html	14.6 KB
29. Quiz Zip and Enumerate.html	14.6 KB
07. Boolean Expressions for Conditions.html	15.5 KB
13. Quiz For Loops.html	16.7 KB
02. Conditional Statements.html	16.9 KB
08. Quiz Boolean Expressions for Conditions.html	17.3 KB
34. Congrats!-vDoqpwCHxs4.mp4	3.3 MB
01. Introduction-eUrvACMMJ5w.mp4	6.2 MB
02. Indentation-G8qUNOTHtrM.mp4	8.0 MB
20. L3 08 While Loops V3-7Sf5tcPlKQw.mp4	11.4 MB
07. Truth Value Testing-e52uw7ejV8k.mp4	13.4 MB
25. Break and Continue-F6qJAv9ts9Y.mp4	13.9 MB
07. Complex Boolean Expressions-gWmIKWgzFqI.mp4	15.8 MB
28. Zip and Enumerate-bSJPzVArE7M.mp4	16.5 MB
02. If Statements-jWiIUMrwPqA.mp4	17.8 MB
31. List Comprehensions-6qxo-NV9v_s.mp4	18.2 MB
02. If Elif and Else-KZubH5XT0eU.mp4	19.2 MB
10. For Loops-UtX0PXSUCdY.mp4	19.3 MB
07. Good And Bad Examples-95oLh3WtdhY.mp4	20.9 MB
/Part 04-Module 01-Lesson 01_Clustering/
21. Outro-AeDSl4KSVIE.en.vtt	0.4 KB
21. Outro-AeDSl4KSVIE.pt-BR.vtt	0.4 KB
01. Introduction-k7YOVTkFRJM.pt-BR.vtt	1.2 KB
01. Introduction-k7YOVTkFRJM.en.vtt	1.2 KB
16. Feature Scaling-rpTVp7C8AXo.en.vtt	1.3 KB
04. 04 KMeans Use Cases 1 1 V2-25paySwVdAA.en.vtt	1.5 KB
16. Feature Scaling-rpTVp7C8AXo.pt-BR.vtt	1.5 KB
17. Feature Scaling Example--Axyt0bPCT0.en.vtt	1.6 KB
04. 04 KMeans Use Cases 1 1 V2-25paySwVdAA.pt-BR.vtt	1.6 KB
05. KMeans-B9jdQFpPEk0.en.vtt	1.7 KB
03. Two Types of Unsupervised Learning-aHK_rpaS_ts.en.vtt	1.8 KB
03. Two Types of Unsupervised Learning-aHK_rpaS_ts.pt-BR.vtt	1.8 KB
17. Feature Scaling Example--Axyt0bPCT0.pt-BR.vtt	1.8 KB
07. 07 Changing K 1 V3-Bd3M-xUlqEI.en.vtt	1.9 KB
05. KMeans-B9jdQFpPEk0.pt-BR.vtt	1.9 KB
07. 07 Changing K 1 V3-Bd3M-xUlqEI.pt-BR.vtt	2.0 KB
15. Is That The Optimal Solution-g5aPtCpBNmw.en.vtt	2.3 KB
12. How Does K-Means Work-pL-pMCDgJuw.en.vtt	2.3 KB
12. How Does K-Means Work-pL-pMCDgJuw.pt-BR.vtt	2.4 KB
15. Is That The Optimal Solution-g5aPtCpBNmw.pt-BR.vtt	2.5 KB
08. Elbow Method For Finding K-e7fqXpo63n8.pt-BR.vtt	2.7 KB
08. Elbow Method For Finding K-e7fqXpo63n8.en.vtt	2.8 KB
13. 14 How Does KMeans Work V1-y7yZyyHgyYU.en.vtt	3.6 KB
13. 14 How Does KMeans Work V1-y7yZyyHgyYU.pt-BR.vtt	3.7 KB
20. 19 Feature Scaling Solution V1-xddMZP2SQ1U.pt-BR.vtt	5.1 KB
20. 19 Feature Scaling Solution V1-xddMZP2SQ1U.en.vtt	5.4 KB
index.html	5.4 KB
11. 12 KMeans In Scikit Learn Solution V1-IIVsWFq2DXk.pt-BR.vtt	5.9 KB
11. 12 KMeans In Scikit Learn Solution V1-IIVsWFq2DXk.en.vtt	5.9 KB
09. 10 KMeans In Scikit Learn V1-jkEgQLOcCGo.pt-BR.vtt	5.9 KB
21. Video Outro.html	7.0 KB
01. Video Introduction.html	7.0 KB
09. Screencast K-Means in Scikit Learn.html	7.1 KB
09. 10 KMeans In Scikit Learn V1-jkEgQLOcCGo.en.vtt	7.3 KB
04. Video K-Means Use Cases.html	7.6 KB
10. Notebook Your Turn.html	7.6 KB
19. Notebook Feature Scaling.html	7.6 KB
06. Quiz Identifying Clusters.html	7.6 KB
18. Notebook Feature Scaling Example.html	7.6 KB
03. Video Two Types of Unsupervised Learning.html	7.6 KB
05. Video K-Means.html	7.6 KB
15. Video Is that the Optimal Solution.html	7.8 KB
07. Video Changing K.html	7.8 KB
13. Screencast + Text How Does K-Means Work.html	7.8 KB
17. Video Feature Scaling Example.html	8.0 KB
08. Video Elbow Method.html	8.0 KB
11. Screencast Solution.html	8.1 KB
16. Video Feature Scaling.html	8.1 KB
12. Video How Does K-Means Work.html	8.2 KB
22. Text Recap.html	8.6 KB
02. Text Course Outline.html	9.5 KB
20. Screencast Solution.html	9.9 KB
14. How Does K-Means Work.html	11.0 KB
21. Outro-AeDSl4KSVIE.mp4	1.5 MB
05. KMeans-B9jdQFpPEk0.mp4	1.8 MB
17. Feature Scaling Example--Axyt0bPCT0.mp4	2.1 MB
07. 07 Changing K 1 V3-Bd3M-xUlqEI.mp4	2.2 MB
03. Two Types of Unsupervised Learning-aHK_rpaS_ts.mp4	2.3 MB
04. 04 KMeans Use Cases 1 1 V2-25paySwVdAA.mp4	3.4 MB
12. How Does K-Means Work-pL-pMCDgJuw.mp4	3.7 MB
16. Feature Scaling-rpTVp7C8AXo.mp4	4.4 MB
01. Introduction-k7YOVTkFRJM.mp4	4.5 MB
15. Is That The Optimal Solution-g5aPtCpBNmw.mp4	4.5 MB
08. Elbow Method For Finding K-e7fqXpo63n8.mp4	4.5 MB
13. 14 How Does KMeans Work V1-y7yZyyHgyYU.mp4	4.6 MB
20. 19 Feature Scaling Solution V1-xddMZP2SQ1U.mp4	8.2 MB
09. 10 KMeans In Scikit Learn V1-jkEgQLOcCGo.mp4	9.4 MB
11. 12 KMeans In Scikit Learn Solution V1-IIVsWFq2DXk.mp4	10.3 MB
/Part 20-Module 01-Lesson 02_Deep Neural Networks/
20. Random Restart-idyBBCzXiqg.zh-CN.vtt	0.4 KB
20. Random Restart-idyBBCzXiqg.en.vtt	0.5 KB
20. Random Restart-idyBBCzXiqg.pt-BR.vtt	0.5 KB
26. Keras Lab-a50un22BsLI.zh-CN.vtt	0.5 KB
26. Keras Lab-a50un22BsLI.pt-BR.vtt	0.6 KB
26. Keras Lab-a50un22BsLI.en.vtt	0.6 KB
01. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt	0.6 KB
01. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt	0.6 KB
01. Non-Linear Data-F7ZiE8PQiSc.en.vtt	0.6 KB
29. Conclusion-wOiUQDgGD9E.zh-CN.vtt	0.7 KB
29. Conclusion-wOiUQDgGD9E.en.vtt	0.7 KB
10. Training Optimization-UiGKhx9pUYc.en.vtt	0.8 KB
10. Training Optimization-UiGKhx9pUYc.zh-CN.vtt	0.8 KB
10. Training Optimization-UiGKhx9pUYc.pt-BR.vtt	0.9 KB
19. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt	1.0 KB
15. Local Minima-gF_sW_nY-xw.zh-CN.vtt	1.0 KB
12. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt	1.0 KB
29. Conclusion-wOiUQDgGD9E.pt-BR.vtt	1.0 KB
15. Local Minima-gF_sW_nY-xw.pt-BR.vtt	1.1 KB
23. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt	1.1 KB
23. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt	1.1 KB
19. Learning Rate-TwJ8aSZoh2U.en.vtt	1.1 KB
03. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt	1.1 KB
15. Local Minima-gF_sW_nY-xw.en.vtt	1.2 KB
12. DL 53 Q Regularization-KxROxcRsHL8.en.vtt	1.2 KB
02. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt	1.2 KB
12. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt	1.2 KB
23. Error Functions Around the World-34AAcTECu2A.en.vtt	1.2 KB
16. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt	1.3 KB
19. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt	1.3 KB
03. Non-Linear Models-HWuBKCZsCo8.en.vtt	1.3 KB
02. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt	1.3 KB
02. Continuous Perceptrons-07-JJ-aGEfM.en.vtt	1.4 KB
03. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt	1.4 KB
06. Chain Rule-YAhIBOnbt54.zh-CN.vtt	1.5 KB
16. Vanishing Gradient-W_JJm_5syFw.en.vtt	1.5 KB
16. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt	1.6 KB
06. Chain Rule-YAhIBOnbt54.en.vtt	1.7 KB
05. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt	1.7 KB
06. Chain Rule-YAhIBOnbt54.pt-BR.vtt	1.8 KB
04. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt	1.9 KB
05. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt	2.0 KB
04. Multiclass Classification-uNTtvxwfox0.en.vtt	2.1 KB
04. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt	2.2 KB
05. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt	2.2 KB
21. Momentum-r-rYz_PEWC8.zh-CN.vtt	2.3 KB
17. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt	2.4 KB
21. Momentum-r-rYz_PEWC8.en.vtt	2.6 KB
17. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt	2.6 KB
17. Other Activation Functions-kA-1vUt6cvQ.en.vtt	2.7 KB
21. Momentum-r-rYz_PEWC8.pt-BR.vtt	2.8 KB
04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt	2.8 KB
06. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt	3.0 KB
04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt	3.1 KB
04. Layers-pg99FkXYK0M.zh-CN.vtt	3.1 KB
04. Layers-pg99FkXYK0M.pt-BR.vtt	3.4 KB
04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt	3.4 KB
04. Layers-pg99FkXYK0M.en.vtt	3.5 KB
06. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt	3.5 KB
06. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt	3.5 KB
24. Neural Network Regression-aUJCBqBfEnI.pt-BR.vtt	3.8 KB
14. Dropout-Ty6K6YiGdBs.zh-CN.vtt	4.2 KB
18. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt	4.2 KB
04. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt	4.7 KB
18. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt	4.7 KB
18. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt	4.8 KB
11. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt	4.8 KB
14. Dropout-Ty6K6YiGdBs.pt-BR.vtt	4.8 KB
14. Dropout-Ty6K6YiGdBs.en.vtt	4.8 KB
06. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt	5.2 KB
04. Combinando modelos-Boy3zHVrWB4.en.vtt	5.4 KB
04. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt	5.4 KB
11. Model Complexity Graph-NnS0FJyVcDQ.en.vtt	5.4 KB
05. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt	5.5 KB
11. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt	5.7 KB
index.html	5.8 KB
06. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt	6.3 KB
05. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt	6.3 KB
06. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt	6.5 KB
06. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt	6.7 KB
05. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt	6.9 KB
13. Regularization-ndYnUrx8xvs.zh-CN.vtt	7.1 KB
06. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt	7.3 KB
06. Backpropagation V2-1SmY3TZTyUk.en.vtt	7.4 KB
24. Neural Network Regression.html	7.5 KB
14. Dropout.html	7.6 KB
21. Momentum.html	7.7 KB
29. Outro.html	7.7 KB
26. Mini Project Intro.html	7.7 KB
15. Local Minima.html	7.7 KB
20. Random Restart.html	7.7 KB
13. Regularization 2.html	7.7 KB
19. Learning Rate Decay.html	7.7 KB
01. Non-linear Data.html	7.7 KB
03. Non-Linear Models.html	7.7 KB
16. Vanishing Gradient.html	7.7 KB
11. Early Stopping.html	7.7 KB
10. Training Optimization.html	7.7 KB
02. Continuous Perceptrons.html	7.8 KB
23. Error Functions Around the World.html	7.8 KB
18. Batch vs Stochastic Gradient Descent.html	7.9 KB
17. Other Activation Functions.html	8.1 KB
28. Lab IMDB Data in Keras.html	8.1 KB
09. Lab Student Admissions in Keras.html	8.2 KB
25. Neural Networks Playground.html	8.2 KB
13. Regularization-ndYnUrx8xvs.en.vtt	8.3 KB
22. Optimizers in Keras.html	8.5 KB
12. Regularization.html	8.8 KB
13. Regularization-ndYnUrx8xvs.pt-BR.vtt	9.0 KB
05. Feedforward.html	9.0 KB
06. Backpropagation.html	11.9 KB
27. Pre-Lab IMDB Data in Keras.html	12.0 KB
04. Neural Network Architecture.html	12.5 KB
08. Pre-Lab Student Admissions in Keras.html	14.0 KB
07. Keras.html	18.1 KB
20. Random Restart-idyBBCzXiqg.mp4	404.5 KB
15. Local Minima-gF_sW_nY-xw.mp4	839.5 KB
19. Learning Rate-TwJ8aSZoh2U.mp4	949.3 KB
12. DL 53 Q Regularization-KxROxcRsHL8.mp4	1.1 MB
03. Non-Linear Models-HWuBKCZsCo8.mp4	1.2 MB
02. Continuous Perceptrons-07-JJ-aGEfM.mp4	1.2 MB
16. Vanishing Gradient-W_JJm_5syFw.mp4	1.4 MB
06. Chain Rule-YAhIBOnbt54.mp4	1.5 MB
05. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4	1.8 MB
23. Error Functions Around the World-34AAcTECu2A.mp4	1.8 MB
04. Multiclass Classification-uNTtvxwfox0.mp4	2.0 MB
01. Non-Linear Data-F7ZiE8PQiSc.mp4	2.2 MB
21. Momentum-r-rYz_PEWC8.mp4	2.2 MB
26. Keras Lab-a50un22BsLI.mp4	2.3 MB
17. Other Activation Functions-kA-1vUt6cvQ.mp4	2.4 MB
29. Conclusion-wOiUQDgGD9E.mp4	2.7 MB
04. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4	3.0 MB
10. Training Optimization-UiGKhx9pUYc.mp4	3.1 MB
04. Layers-pg99FkXYK0M.mp4	3.3 MB
06. Calculating The Gradient 1 -tVuZDbUrzzI.mp4	3.5 MB
24. Neural Network Regression-aUJCBqBfEnI.mp4	3.6 MB
18. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4	4.1 MB
14. Dropout-Ty6K6YiGdBs.mp4	4.4 MB
04. Combinando modelos-Boy3zHVrWB4.mp4	5.0 MB
11. Model Complexity Graph-NnS0FJyVcDQ.mp4	5.1 MB
05. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4	5.6 MB
06. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4	6.0 MB
06. Backpropagation V2-1SmY3TZTyUk.mp4	6.8 MB
13. Regularization-ndYnUrx8xvs.mp4	7.9 MB
/Part 03-Module 01-Lesson 03_Training Neural Networks/
10. Random Restart-idyBBCzXiqg.zh-CN.vtt	0.4 KB
10. Random Restart-idyBBCzXiqg.en.vtt	0.5 KB
10. Random Restart-idyBBCzXiqg.pt-BR.vtt	0.5 KB
02. Training Optimization-UiGKhx9pUYc.en.vtt	0.8 KB
02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt	0.8 KB
02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt	0.9 KB
14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt	1.0 KB
09. Local Minima-gF_sW_nY-xw.zh-CN.vtt	1.0 KB
06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt	1.0 KB
09. Local Minima-gF_sW_nY-xw.pt-BR.vtt	1.1 KB
16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt	1.1 KB
16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt	1.1 KB
14. Learning Rate-TwJ8aSZoh2U.en.vtt	1.1 KB
09. Local Minima-gF_sW_nY-xw.en.vtt	1.2 KB
06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt	1.2 KB
06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt	1.2 KB
16. Error Functions Around the World-34AAcTECu2A.en.vtt	1.2 KB
11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt	1.3 KB
14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt	1.3 KB
11. Vanishing Gradient-W_JJm_5syFw.en.vtt	1.5 KB
11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt	1.6 KB
03. Testing-EeBZpb-PSac.zh-CN.vtt	2.0 KB
15. Momentum-r-rYz_PEWC8.zh-CN.vtt	2.3 KB
12. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt	2.4 KB
03. Testing-EeBZpb-PSac.pt-BR.vtt	2.4 KB
03. Testing-EeBZpb-PSac.en.vtt	2.5 KB
15. Momentum-r-rYz_PEWC8.en.vtt	2.6 KB
12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt	2.6 KB
12. Other Activation Functions-kA-1vUt6cvQ.en.vtt	2.7 KB
15. Momentum-r-rYz_PEWC8.pt-BR.vtt	2.8 KB
08. Dropout-Ty6K6YiGdBs.zh-CN.vtt	4.2 KB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt	4.2 KB
index.html	4.7 KB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt	4.7 KB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt	4.8 KB
05. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt	4.8 KB
08. Dropout-Ty6K6YiGdBs.pt-BR.vtt	4.8 KB
08. Dropout-Ty6K6YiGdBs.en.vtt	4.8 KB
05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt	5.4 KB
05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt	5.7 KB
08. Dropout.html	6.2 KB
03. Testing.html	6.2 KB
15. Momentum.html	6.2 KB
09. Local Minima.html	6.3 KB
10. Random Restart.html	6.3 KB
07. Regularization 2.html	6.3 KB
14. Learning Rate Decay.html	6.3 KB
11. Vanishing Gradient.html	6.3 KB
01. Instructor.html	6.3 KB
05. Early Stopping.html	6.3 KB
02. Training Optimization.html	6.3 KB
04. Overfitting and Underfitting.html	6.4 KB
16. Error Functions Around the World.html	6.4 KB
13. Batch vs Stochastic Gradient Descent.html	6.4 KB
12. Other Activation Functions.html	6.7 KB
04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt	6.7 KB
07. Regularization-ndYnUrx8xvs.zh-CN.vtt	7.1 KB
06. Regularization.html	7.4 KB
04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt	7.7 KB
07. Regularization-ndYnUrx8xvs.en.vtt	8.3 KB
04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt	8.3 KB
07. Regularization-ndYnUrx8xvs.pt-BR.vtt	9.0 KB
10. Random Restart-idyBBCzXiqg.mp4	404.5 KB
09. Local Minima-gF_sW_nY-xw.mp4	839.5 KB
14. Learning Rate-TwJ8aSZoh2U.mp4	949.3 KB
06. DL 53 Q Regularization-KxROxcRsHL8.mp4	1.1 MB
11. Vanishing Gradient-W_JJm_5syFw.mp4	1.4 MB
16. Error Functions Around the World-34AAcTECu2A.mp4	1.8 MB
03. Testing-EeBZpb-PSac.mp4	2.1 MB
15. Momentum-r-rYz_PEWC8.mp4	2.2 MB
12. Other Activation Functions-kA-1vUt6cvQ.mp4	2.4 MB
02. Training Optimization-UiGKhx9pUYc.mp4	3.1 MB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4	4.1 MB
08. Dropout-Ty6K6YiGdBs.mp4	4.4 MB
05. Model Complexity Graph-NnS0FJyVcDQ.mp4	5.1 MB
04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4	6.7 MB
07. Regularization-ndYnUrx8xvs.mp4	7.9 MB
/Part 17-Module 01-Lesson 01_Intro to Experiment Design and Recommendation Engines/
05. Outro-dVrYQ7o8a-k.pt-BR.vtt	0.4 KB
05. Outro-dVrYQ7o8a-k.en.vtt	0.5 KB
01. C4 Intro-gXlqR86h0yI.en.vtt	2.5 KB
01. C4 Intro-gXlqR86h0yI.pt-BR.vtt	2.8 KB
index.html	4.0 KB
04. Experimental Design Insights With Richard Sharp-XDBw2nfOrsU.en.vtt	4.6 KB
04. Experimental Design Insights With Richard Sharp-XDBw2nfOrsU.pt-BR.vtt	4.8 KB
03. Interview Dan [Coinbase].html	5.1 KB
05. Lesson Outro.html	5.1 KB
01. Intro to Experiment Design and Recommendation Engines.html	5.2 KB
04. Interview Richard [Starbucks].html	5.3 KB
03. Dan Frank Interview-Me-KRvZW1QQ.pt-BR.vtt	5.5 KB
02. Course Syllabus.html	7.5 KB
05. Outro-dVrYQ7o8a-k.mp4	1.3 MB
01. C4 Intro-gXlqR86h0yI.mp4	9.1 MB
04. Experimental Design Insights With Richard Sharp-XDBw2nfOrsU.mp4	19.8 MB
03. Dan Frank Interview-Me-KRvZW1QQ.mp4	27.4 MB
/Part 02-Module 01-Lesson 06_Support Vector Machines/
01. Support Vector Machine V2-LBmM6pZCrI0.zh-CN.vtt	0.4 KB
09. SVM 07 Error Function V1-A1wbrcSYc1c.pt-BR.vtt	0.5 KB
09. SVM 07 Error Function V1-A1wbrcSYc1c.zh-CN.vtt	0.5 KB
01. Support Vector Machine V2-LBmM6pZCrI0.en.vtt	0.5 KB
09. SVM 07 Error Function V1-A1wbrcSYc1c.en.vtt	0.5 KB
01. Support Vector Machine V2-LBmM6pZCrI0.pt-BR.vtt	0.5 KB
02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.zh-CN.vtt	0.6 KB
02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.pt-BR.vtt	0.6 KB
02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.en.vtt	0.7 KB
03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.pt-BR.vtt	1.1 KB
15. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.zh-CN.vtt	1.2 KB
15. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.pt-BR.vtt	1.2 KB
03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.zh-CN.vtt	1.2 KB
15. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.en.vtt	1.3 KB
03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.en.vtt	1.4 KB
04. SVM 03 Error Function V1-l-ahImxoi-U.zh-CN.vtt	2.4 KB
04. SVM 03 Error Function V1-l-ahImxoi-U.pt-BR.vtt	2.4 KB
10. SVM 08 The C Parameter V2-6CxPhVo0hRw.zh-CN.vtt	2.5 KB
10. SVM 08 The C Parameter V2-6CxPhVo0hRw.pt-BR.vtt	2.5 KB
11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.pt-BR.vtt	2.7 KB
04. SVM 03 Error Function V1-l-ahImxoi-U.en.vtt	2.8 KB
16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.pt-BR.vtt	2.8 KB
11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.zh-CN.vtt	2.9 KB
10. SVM 08 The C Parameter V2-6CxPhVo0hRw.en.vtt	2.9 KB
06. SVM 05 Classification Error V1-nWGVAGXwvGE.zh-CN.vtt	3.0 KB
11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.en.vtt	3.1 KB
16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.zh-CN.vtt	3.1 KB
06. SVM 05 Classification Error V1-nWGVAGXwvGE.pt-BR.vtt	3.1 KB
12. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.pt-BR.vtt	3.4 KB
16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.en.vtt	3.6 KB
06. SVM 05 Classification Error V1-nWGVAGXwvGE.en.vtt	3.7 KB
12. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.zh-CN.vtt	3.8 KB
05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.zh-CN.vtt	3.9 KB
05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.pt-BR.vtt	4.1 KB
12. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.en.vtt	4.3 KB
05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.en.vtt	4.8 KB
index.html	4.9 KB
07. SVM 06 Margin Error V2-dSac8Gfgbok.pt-BR.vtt	5.7 KB
07. SVM 06 Margin Error V2-dSac8Gfgbok.zh-CN.vtt	5.9 KB
14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.pt-BR.vtt	6.4 KB
16. RBF Kernel 3.html	6.5 KB
15. RBF Kernel 2.html	6.5 KB
14. RBF Kernel 1.html	6.5 KB
07. Margin Error.html	6.5 KB
01. Intro.html	6.5 KB
09. Error Function.html	6.6 KB
14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.zh-CN.vtt	6.6 KB
10. The C Parameter.html	6.6 KB
04. Error Function Intuition.html	6.6 KB
11. Polynomial Kernel 1.html	6.6 KB
13. Polynomial Kernel 3.html	6.6 KB
06. Classification Error.html	6.6 KB
03. Minimizing Distances.html	6.6 KB
07. SVM 06 Margin Error V2-dSac8Gfgbok.en.vtt	6.7 KB
05. Perceptron Algorithm.html	7.1 KB
02. Which line is better.html	7.6 KB
14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.en.vtt	7.6 KB
12. Polynomial Kernel 2.html	7.8 KB
13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.pt-BR.vtt	8.4 KB
13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.zh-CN.vtt	8.9 KB
18. Recap Additional Resources.html	10.3 KB
13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.en.vtt	10.5 KB
08. (Optional) Margin Error Calculation.html	11.5 KB
17. SVMs in sklearn.html	15.4 KB
02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.mp4	1.6 MB
09. SVM 07 Error Function V1-A1wbrcSYc1c.mp4	1.8 MB
01. Support Vector Machine V2-LBmM6pZCrI0.mp4	2.5 MB
03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.mp4	3.1 MB
15. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.mp4	5.3 MB
04. SVM 03 Error Function V1-l-ahImxoi-U.mp4	6.2 MB
10. SVM 08 The C Parameter V2-6CxPhVo0hRw.mp4	7.4 MB
11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.mp4	7.4 MB
16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.mp4	9.7 MB
12. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.mp4	10.2 MB
06. SVM 05 Classification Error V1-nWGVAGXwvGE.mp4	13.2 MB
05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.mp4	13.6 MB
14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4	19.5 MB
07. SVM 06 Margin Error V2-dSac8Gfgbok.mp4	19.7 MB
13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4	28.1 MB
/Part 16-Module 01-Lesson 02_ETL Pipelines/
41. 52 Putting It All Together V1 1 V1-D2Th0KdPI-Y.en.vtt	0.4 KB
41. 52 Putting It All Together V1 1 V1-D2Th0KdPI-Y.pt-BR.vtt	0.5 KB
05. 05 Extraction Idea 1 V1 V2-4dKG_08zMm4.en.vtt	0.9 KB
05. 05 Extraction Idea 1 V1 V2-4dKG_08zMm4.pt-BR.vtt	1.0 KB
11. Transform Walk Through-i9_0kHCCCCE.en.vtt	1.2 KB
39. 47 Load V1 V1-Us1hWDaabxo.en.vtt	1.3 KB
43. Outro V1 V4-XE3aoYOXeBw.en.vtt	1.3 KB
11. Transform Walk Through-i9_0kHCCCCE.pt-BR.vtt	1.3 KB
02. Lesson Overview -q1beUVlLoIQ.en.vtt	1.4 KB
21. 29 Missing Data Delete V1 V2-L0MoPGyiiYo.en.vtt	1.4 KB
21. 29 Missing Data Delete V1 V2-L0MoPGyiiYo.pt-BR.vtt	1.5 KB
39. 47 Load V1 V1-Us1hWDaabxo.pt-BR.vtt	1.5 KB
43. Outro V1 V4-XE3aoYOXeBw.pt-BR.vtt	1.6 KB
02. Lesson Overview -q1beUVlLoIQ.pt-BR.vtt	1.6 KB
34. Scaling Data-OgjTk3XCUUE.en.vtt	1.7 KB
38. Bloopers Intro 1 V1-Y1weHponR2Q.en.vtt	1.8 KB
39. Load Walk Through-AZvC7kYp_74.en.vtt	1.9 KB
14. 22 Cleaning Data V1 V3-zYxgkUqTX0Y.en.vtt	1.9 KB
39. Load Walk Through-AZvC7kYp_74.pt-BR.vtt	1.9 KB
20. 28 Missing Data Causes V1 V2-zlw8ESS6Q88.en.vtt	2.0 KB
01. 01 Intro V1 2 V4-iW4uqhfRk10.en.vtt	2.0 KB
34. Scaling Data-OgjTk3XCUUE.pt-BR.vtt	2.0 KB
11. 19 Transform Intro V2 V3-SXp4Qa-rQJg.en.vtt	2.1 KB
27. Dummy Variables-bgxBUvPpKQQ.en.vtt	2.1 KB
38. Bloopers Intro 1 V1-Y1weHponR2Q.pt-BR.vtt	2.2 KB
14. 22 Cleaning Data V1 V3-zYxgkUqTX0Y.pt-BR.vtt	2.2 KB
31. 38 Outliers What To Do With Them V1 V2-Yd_fPCmGNZ0.en.vtt	2.2 KB
01. 01 Intro V1 2 V4-iW4uqhfRk10.pt-BR.vtt	2.2 KB
12. Combining Data From Different Sources-IfMydJvU37M.en.vtt	2.2 KB
20. 28 Missing Data Causes V1 V2-zlw8ESS6Q88.pt-BR.vtt	2.2 KB
11. 19 Transform Intro V2 V3-SXp4Qa-rQJg.pt-BR.vtt	2.3 KB
36. 44 Feature Engineering V1 V1-7Bof5l8xjz8.en.vtt	2.4 KB
22. 30 Imputing Missing Data V1 V3-A5sOJDj3AKg.en.vtt	2.4 KB
12. Combining Data From Different Sources-IfMydJvU37M.pt-BR.vtt	2.4 KB
27. Dummy Variables-bgxBUvPpKQQ.pt-BR.vtt	2.4 KB
25. Duplicate Data-49ZwWRviAFg.en.vtt	2.5 KB
31. 38 Outliers What To Do With Them V1 V2-Yd_fPCmGNZ0.pt-BR.vtt	2.5 KB
36. 44 Feature Engineering V1 V1-7Bof5l8xjz8.pt-BR.vtt	2.7 KB
25. Duplicate Data-49ZwWRviAFg.pt-BR.vtt	2.7 KB
22. 30 Imputing Missing Data V1 V3-A5sOJDj3AKg.pt-BR.vtt	2.8 KB
18. Matching Encodings-398xRMnhjGk.en.vtt	3.0 KB
33. Data Engineering Importance-VO-OrJ0JqxM.en.vtt	3.1 KB
29. Outliers How To Find Them-ksqzOCSAp5U.en.vtt	3.2 KB
18. Matching Encodings-398xRMnhjGk.pt-BR.vtt	3.3 KB
33. Data Engineering Importance-VO-OrJ0JqxM.pt-BR.vtt	3.4 KB
05. Extract Walk Through-Bbj8rQRRVoM.pt-BR.vtt	3.5 KB
05. Extract Walk Through-Bbj8rQRRVoM.en.vtt	3.6 KB
29. Outliers How To Find Them-ksqzOCSAp5U.pt-BR.vtt	3.9 KB
41. Putting It All Together-PHaSifd-Mas.en.vtt	4.5 KB
41. Putting It All Together-PHaSifd-Mas.pt-BR.vtt	4.9 KB
03. World Bank Datasets-lNPzOLzZVbw.en.vtt	5.3 KB
03. World Bank Datasets-lNPzOLzZVbw.pt-BR.vtt	5.3 KB
24. Data Engineering-z6r2e_V0Td0.en.vtt	6.2 KB
24. Data Engineering-z6r2e_V0Td0.pt-BR.vtt	6.5 KB
index.html	7.0 KB
34. Scaling Data.html	9.2 KB
43. Lesson Summary.html	9.2 KB
25. Duplicate Data.html	9.3 KB
14. Cleaning Data.html	9.3 KB
18. Matching Encodings.html	9.3 KB
36. Feature Engineering.html	9.3 KB
22. Missing Data - Impute.html	9.3 KB
21. Missing Data - Delete.html	9.3 KB
38. Bloopers.html	9.4 KB
31. Outliers - What to do .html	9.4 KB
09. Extracting Text Data.html	9.5 KB
33. AI and Data Engineering - Robert Chang Airbnb.html	9.6 KB
24. SQL, optimization, and ETL - Robert Chang Airbnb.html	9.6 KB
06. Exercise CSV.html	9.7 KB
10. Exercise APIs.html	9.7 KB
40. Exercise Load.html	9.7 KB
23. Exercise Imputation.html	9.7 KB
16. Exercise Data Types.html	9.7 KB
35. Exercise Scaling Data.html	9.7 KB
07. Exercise JSON and XML.html	9.7 KB
17. Exercise Parsing Dates.html	9.7 KB
15. Exercise Cleaning Data.html	9.7 KB
08. Exercise SQL Databases.html	9.7 KB
13. Exercise Combining Data.html	9.7 KB
26. Exercise Duplicate Data.html	9.7 KB
30. Exercise Outliers Part 1.html	9.7 KB
28. Exercise Dummy Variables.html	9.7 KB
32. Exercise Outliers - Part 2.html	9.7 KB
19. Exercise Matching Encodings.html	9.7 KB
37. Exercise Feature Engineering.html	9.7 KB
42. Exercise Putting It All Together.html	9.7 KB
12. Combining Data.html	9.8 KB
41. Putting It All Together.html	10.0 KB
27. Dummy Variables.html	10.0 KB
29. Outliers - How to Find Them.html	10.1 KB
20. Missing Data - Overview.html	10.4 KB
39. Load.html	10.4 KB
11. Transform.html	10.7 KB
04. How to Tackle the Exercises.html	10.8 KB
01. Introduction.html	12.0 KB
02. Lesson Overview.html	12.5 KB
03. World Bank Datasets.html	14.5 KB
05. Extract.html	18.7 KB
41. 52 Putting It All Together V1 1 V1-D2Th0KdPI-Y.mp4	1.4 MB
11. Transform Walk Through-i9_0kHCCCCE.mp4	1.5 MB
21. 29 Missing Data Delete V1 V2-L0MoPGyiiYo.mp4	2.2 MB
05. 05 Extraction Idea 1 V1 V2-4dKG_08zMm4.mp4	2.4 MB
39. 47 Load V1 V1-Us1hWDaabxo.mp4	3.2 MB
20. 28 Missing Data Causes V1 V2-zlw8ESS6Q88.mp4	3.4 MB
27. Dummy Variables-bgxBUvPpKQQ.mp4	3.7 MB
34. Scaling Data-OgjTk3XCUUE.mp4	4.0 MB
02. Lesson Overview -q1beUVlLoIQ.mp4	4.2 MB
39. Load Walk Through-AZvC7kYp_74.mp4	4.3 MB
43. Outro V1 V4-XE3aoYOXeBw.mp4	4.3 MB
11. 19 Transform Intro V2 V3-SXp4Qa-rQJg.mp4	4.6 MB
12. Combining Data From Different Sources-IfMydJvU37M.mp4	4.8 MB
22. 30 Imputing Missing Data V1 V3-A5sOJDj3AKg.mp4	5.2 MB
36. 44 Feature Engineering V1 V1-7Bof5l8xjz8.mp4	5.4 MB
25. Duplicate Data-49ZwWRviAFg.mp4	5.4 MB
14. 22 Cleaning Data V1 V3-zYxgkUqTX0Y.mp4	5.5 MB
05. Extract Walk Through-Bbj8rQRRVoM.mp4	5.6 MB
31. 38 Outliers What To Do With Them V1 V2-Yd_fPCmGNZ0.mp4	5.7 MB
01. 01 Intro V1 2 V4-iW4uqhfRk10.mp4	5.9 MB
41. Putting It All Together-PHaSifd-Mas.mp4	6.2 MB
18. Matching Encodings-398xRMnhjGk.mp4	8.4 MB
38. Bloopers Intro 1 V1-Y1weHponR2Q.mp4	8.4 MB
29. Outliers How To Find Them-ksqzOCSAp5U.mp4	8.5 MB
03. World Bank Datasets-lNPzOLzZVbw.mp4	9.7 MB
33. Data Engineering Importance-VO-OrJ0JqxM.mp4	21.6 MB
24. Data Engineering-z6r2e_V0Td0.mp4	37.0 MB
/Part 02-Module 01-Lesson 09_Training and Tuning/
13. MLND Outro-sFvMBncQjr8.zh-CN.vtt	0.4 KB
13. MLND Outro-sFvMBncQjr8.en.vtt	0.5 KB
13. MLND Outro-sFvMBncQjr8.pt-BR.vtt	0.5 KB
04. KFold Cross Validation V3 V1-9W6o6eWGi-0.pt-BR.vtt	2.1 KB
02. Model Complexity Graph-Question-YS5OQCA5cLY.zh-CN.vtt	3.1 KB
02. Model Complexity Graph-Question-YS5OQCA5cLY.pt-BR.vtt	3.2 KB
02. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt	3.4 KB
08. Grid Search SC V1-zDw-ZGiHW5I.en.vtt	4.2 KB
08. Grid Search SC V1-zDw-ZGiHW5I.pt-BR.vtt	4.3 KB
index.html	4.6 KB
03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt	5.4 KB
03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt	5.9 KB
04. K-Fold Cross Validation.html	6.0 KB
13. Outro.html	6.1 KB
01. Types of Errors.html	6.2 KB
01. 04 L Types Of Errors-Twf1qnPZeSY.zh-CN.vtt	6.2 KB
03. Cross Validation.html	6.2 KB
03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt	6.3 KB
05. Learning Curves.html	6.3 KB
01. 04 L Types Of Errors-Twf1qnPZeSY.pt-BR.vtt	6.4 KB
08. Grid Search.html	6.4 KB
10. Grid Search Lab.html	6.6 KB
12. Putting It All Together.html	6.6 KB
11. [Solution] Grid Search Lab.html	6.6 KB
01. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt	7.1 KB
02. Model Complexity Graph.html	7.3 KB
09. Grid Search in sklearn.html	7.7 KB
05. Learning Curves SC V1-ZNhnNVKl8NM.en.vtt	8.2 KB
05. Learning Curves SC V1-ZNhnNVKl8NM.pt-BR.vtt	8.3 KB
07. Solution Detecting Overfitting and Underfitting.html	9.1 KB
06. Detecting Overfitting and Underfitting with Learning Curves.html	18.7 KB
04. KFold Cross Validation V3 V1-9W6o6eWGi-0.mp4	1.8 MB
13. MLND Outro-sFvMBncQjr8.mp4	2.1 MB
08. Grid Search SC V1-zDw-ZGiHW5I.mp4	3.6 MB
02. Model Complexity Graph-Question-YS5OQCA5cLY.mp4	5.7 MB
05. Learning Curves SC V1-ZNhnNVKl8NM.mp4	6.3 MB
01. 04 L Types Of Errors-Twf1qnPZeSY.mp4	6.9 MB
03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4	9.7 MB
/Part 07-Module 01-Lesson 05_SQL Data Cleaning/
17. Data Cleaning Conclusion-KkHqnvD9BWY.zh-CN.vtt	0.4 KB
17. Data Cleaning Conclusion-KkHqnvD9BWY.en.vtt	0.5 KB
08. CONCAT-bCxZnQN28Y4.zh-CN.vtt	0.5 KB
17. Data Cleaning Conclusion-KkHqnvD9BWY.pt-BR.vtt	0.6 KB
08. CONCAT-bCxZnQN28Y4.en.vtt	0.6 KB
17. Data Cleaning Conclusion-KkHqnvD9BWY.ar.vtt	0.7 KB
08. CONCAT-bCxZnQN28Y4.pt-BR.vtt	0.7 KB
08. CONCAT-bCxZnQN28Y4.ar.vtt	0.8 KB
01. Introduction to Data Cleaning-YTtH3NM2BX0.zh-CN.vtt	0.9 KB
01. Introduction to Data Cleaning-YTtH3NM2BX0.pt-BR.vtt	0.9 KB
01. Introduction to Data Cleaning-YTtH3NM2BX0.en.vtt	1.0 KB
14. COALESCE-86vgu-ECBCQ.zh-CN.vtt	1.4 KB
01. Introduction to Data Cleaning-YTtH3NM2BX0.ar.vtt	1.4 KB
14. COALESCE-86vgu-ECBCQ.en.vtt	1.5 KB
14. COALESCE-86vgu-ECBCQ.pt-BR.vtt	1.8 KB
14. COALESCE-86vgu-ECBCQ.ar.vtt	2.1 KB
05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.zh-CN.vtt	2.1 KB
05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.en.vtt	2.3 KB
11. CAST-LbyOq4ofLng.zh-CN.vtt	2.6 KB
05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.pt-BR.vtt	2.7 KB
02. Cleaning with String Functions-y1fduSu7Ovc.zh-CN.vtt	2.7 KB
11. CAST-LbyOq4ofLng.en.vtt	3.0 KB
05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.ar.vtt	3.0 KB
02. Cleaning with String Functions-y1fduSu7Ovc.en.vtt	3.2 KB
11. CAST-LbyOq4ofLng.pt-BR.vtt	3.3 KB
02. Cleaning with String Functions-y1fduSu7Ovc.pt-BR.vtt	3.5 KB
11. CAST-LbyOq4ofLng.ar.vtt	4.0 KB
02. Cleaning with String Functions-y1fduSu7Ovc.ar.vtt	4.2 KB
index.html	4.9 KB
08. Video CONCAT.html	7.1 KB
01. Video Introduction to SQL Data Cleaning.html	7.2 KB
14. Video COALESCE.html	7.2 KB
07. Solutions POSITION, STRPOS, SUBSTR.html	7.6 KB
02. Video LEFT RIGHT.html	7.8 KB
06. Quiz POSITION, STRPOS, SUBSTR - AME DATA AS QUIZ 1.html	7.8 KB
13. Solutions CAST.html	7.9 KB
17. Video + Text Recap.html	7.9 KB
05. Video POSITION, STRPOS, SUBSTR.html	8.1 KB
10. Solutions CONCAT.html	8.3 KB
09. Quiz CONCAT.html	8.5 KB
03. Quiz LEFT RIGHT.html	8.5 KB
04. Solutions LEFT RIGHT.html	8.6 KB
11. Video CAST.html	9.0 KB
16. Solutions COALESCE.html	9.2 KB
15. Quiz COALESCE.html	9.7 KB
12. Quiz CAST.html	10.4 KB
08. CONCAT-bCxZnQN28Y4.mp4	1.2 MB
17. Data Cleaning Conclusion-KkHqnvD9BWY.mp4	2.2 MB
14. COALESCE-86vgu-ECBCQ.mp4	2.4 MB
01. Introduction to Data Cleaning-YTtH3NM2BX0.mp4	3.7 MB
11. CAST-LbyOq4ofLng.mp4	3.8 MB
05. Cleaning With More Advanced String Functions-E6cK8RbYGEc.mp4	4.0 MB
02. Cleaning with String Functions-y1fduSu7Ovc.mp4	4.4 MB
/Part 12-Module 01-Lesson 08_Python Probability Practice/
01. Python Probability Introduction-tFMdvAN7WDY.zh-CN.vtt	0.4 KB
01. Python Probability Introduction-tFMdvAN7WDY.en.vtt	0.5 KB
01. Python Probability Introduction-tFMdvAN7WDY.pt-BR.vtt	0.5 KB
08. Python Probability Conclusion-4JYar5GykXk.zh-CN.vtt	0.6 KB
01. Python Probability Introduction-tFMdvAN7WDY.ar.vtt	0.7 KB
08. Python Probability Conclusion-4JYar5GykXk.en.vtt	0.7 KB
08. Python Probability Conclusion-4JYar5GykXk.pt-BR.vtt	0.8 KB
08. Python Probability Conclusion-4JYar5GykXk.ar.vtt	0.9 KB
04. Simulating Many Coin Flips-AqpWQIj2V5Y.zh-CN.vtt	3.1 KB
02. Simulating Coin Flips-7YtQNZ3iy6o.zh-CN.vtt	3.3 KB
04. Simulating Many Coin Flips-AqpWQIj2V5Y.en.vtt	3.3 KB
04. Simulating Many Coin Flips-AqpWQIj2V5Y.pt-BR.vtt	3.4 KB
02. Simulating Coin Flips-7YtQNZ3iy6o.en.vtt	3.7 KB
02. Simulating Coin Flips-7YtQNZ3iy6o.pt-BR.vtt	4.0 KB
04. Simulating Many Coin Flips-AqpWQIj2V5Y.ar.vtt	4.1 KB
index.html	4.2 KB
02. Simulating Coin Flips-7YtQNZ3iy6o.ar.vtt	5.0 KB
08. Conclusion.html	5.7 KB
01. Introduction.html	5.8 KB
02. Simulating Coin Flips.html	6.9 KB
04. Simulating Many Coin Flips.html	6.9 KB
05. Binomial Distributions Quiz.html	10.5 KB
03. Probability Quiz.html	10.7 KB
07. Conditional Probability Bayes Rule Quiz.html	11.3 KB
06. Cancer Test Results.html	12.3 KB
01. Python Probability Introduction-tFMdvAN7WDY.mp4	1.7 MB
08. Python Probability Conclusion-4JYar5GykXk.mp4	2.2 MB
04. Simulating Many Coin Flips-AqpWQIj2V5Y.mp4	3.6 MB
02. Simulating Coin Flips-7YtQNZ3iy6o.mp4	4.0 MB
/Part 12-Module 01-Lesson 02_Descriptive Statistics - Part II/
31. Descriptive Statistics Summary-Fe7Gta2SfLA.zh-CN.vtt	0.4 KB
31. Descriptive Statistics Summary-Fe7Gta2SfLA.pt-BR.vtt	0.5 KB
31. Descriptive Statistics Summary-Fe7Gta2SfLA.en.vtt	0.5 KB
31. Descriptive Statistics Summary-Fe7Gta2SfLA.ar.vtt	0.7 KB
01. 26 Spread Part 1-zb76Z_viYLY.zh-CN.vtt	0.8 KB
01. 26 Spread Part 1-zb76Z_viYLY.pt-BR.vtt	0.9 KB
01. 26 Spread Part 1-zb76Z_viYLY.en.vtt	0.9 KB
03. What is the Difference-I3tQvrCgNrQ.zh-CN.vtt	1.1 KB
01. 26 Spread Part 1-zb76Z_viYLY.ar.vtt	1.2 KB
22. Outliers Advice-BhhDoTgYQmI.zh-CN.vtt	1.3 KB
11. Why the Standard Deviation-XlTBvjQ2t8w.zh-CN.vtt	1.3 KB
03. What is the Difference-I3tQvrCgNrQ.en.vtt	1.3 KB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.zh-CN.vtt	1.4 KB
02. Histograms-4t10RgUv2Fc.zh-CN.vtt	1.4 KB
18. Data in the Real World-HmipezTjTDY.zh-CN.vtt	1.4 KB
03. What is the Difference-I3tQvrCgNrQ.pt-BR.vtt	1.5 KB
22. Outliers Advice-BhhDoTgYQmI.en.vtt	1.5 KB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.en.vtt	1.6 KB
18. Data in the Real World-HmipezTjTDY.en.vtt	1.6 KB
12. Variance Standard Deviation Final Points-vXUgp2375j4.zh-CN.vtt	1.6 KB
11. Why the Standard Deviation-XlTBvjQ2t8w.en.vtt	1.6 KB
02. Histograms-4t10RgUv2Fc.en.vtt	1.6 KB
11. Why the Standard Deviation-XlTBvjQ2t8w.pt-BR.vtt	1.6 KB
22. Outliers Advice-BhhDoTgYQmI.pt-BR.vtt	1.7 KB
18. Data in the Real World-HmipezTjTDY.pt-BR.vtt	1.8 KB
02. Histograms-4t10RgUv2Fc.pt-BR.vtt	1.8 KB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.pt-BR.vtt	1.8 KB
03. What is the Difference-I3tQvrCgNrQ.ar.vtt	1.9 KB
21. Working with Outliers-4RnQjtJB8t8.zh-CN.vtt	1.9 KB
12. Variance Standard Deviation Final Points-vXUgp2375j4.en.vtt	2.0 KB
22. Outliers Advice-BhhDoTgYQmI.ar.vtt	2.0 KB
18. Data in the Real World-HmipezTjTDY.ar.vtt	2.1 KB
12. Variance Standard Deviation Final Points-vXUgp2375j4.pt-BR.vtt	2.2 KB
21. Working with Outliers-4RnQjtJB8t8.en.vtt	2.2 KB
11. Why the Standard Deviation-XlTBvjQ2t8w.ar.vtt	2.2 KB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.ar.vtt	2.3 KB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.zh-CN.vtt	2.3 KB
02. Histograms-4t10RgUv2Fc.ar.vtt	2.3 KB
20. Outliers-HKIsvkZUZfo.zh-CN.vtt	2.3 KB
17. Shape of Distributions-UnN99AAYf8k.zh-CN.vtt	2.4 KB
21. Working with Outliers-4RnQjtJB8t8.pt-BR.vtt	2.5 KB
20. Outliers-HKIsvkZUZfo.en.vtt	2.7 KB
20. Outliers-HKIsvkZUZfo.pt-BR.vtt	2.8 KB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.en.vtt	2.8 KB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.zh-CN.vtt	2.8 KB
12. Variance Standard Deviation Final Points-vXUgp2375j4.ar.vtt	2.9 KB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.pt-BR.vtt	2.9 KB
21. Working with Outliers-4RnQjtJB8t8.ar.vtt	3.0 KB
04. 29 Number Summary-gzUN5zKLHjQ.zh-CN.vtt	3.0 KB
17. Shape of Distributions-UnN99AAYf8k.pt-BR.vtt	3.0 KB
17. Shape of Distributions-UnN99AAYf8k.en.vtt	3.0 KB
08. Standard Deviation Calculation-H5zA1A-XPoY.zh-CN.vtt	3.0 KB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt	3.3 KB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.ar.vtt	3.5 KB
20. Outliers-HKIsvkZUZfo.ar.vtt	3.6 KB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.pt-BR.vtt	3.6 KB
04. 29 Number Summary-gzUN5zKLHjQ.en.vtt	3.6 KB
08. Standard Deviation Calculation-H5zA1A-XPoY.en.vtt	3.8 KB
04. 29 Number Summary-gzUN5zKLHjQ.pt-BR.vtt	4.0 KB
08. Standard Deviation Calculation-H5zA1A-XPoY.pt-BR.vtt	4.0 KB
17. Shape of Distributions-UnN99AAYf8k.ar.vtt	4.2 KB
04. 29 Number Summary-gzUN5zKLHjQ.ar.vtt	4.8 KB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.ar.vtt	4.9 KB
08. Standard Deviation Calculation-H5zA1A-XPoY.ar.vtt	4.9 KB
index.html	7.1 KB
31. Video Summary.html	9.3 KB
11. Video Why the Standard Deviation.html	9.3 KB
03. Video Weekdays vs. Weekends What is the Difference.html	9.3 KB
06. Video What if We Only Want One Number.html	9.3 KB
08. Video Standard Deviation Calculation.html	9.5 KB
02. Video Histograms.html	9.6 KB
01. Video What are Measures of Spread.html	9.8 KB
20. Video Shape and Outliers.html	9.9 KB
18. Video The Shape For Data In The World.html	9.9 KB
21. Video Working With Outliers.html	10.0 KB
07. Video Introduction to Standard Deviation and Variance.html	10.2 KB
09. Measures of Spread (Calculation and Units).html	10.3 KB
27. Video Descriptive vs. Inferential Statistics.html	10.3 KB
22. Video Working With Outliers My Advice.html	10.5 KB
17. Video Shape.html	10.6 KB
04. Video Introduction to Five Number Summary.html	10.7 KB
05. Quiz 5 Number Summary Practice.html	10.8 KB
12. Video Important Final Points.html	10.9 KB
30. Text Descriptive vs. Inferential Summary.html	10.9 KB
28. Quiz Descriptive vs. Inferential (Udacity Students).html	11.6 KB
16. Text Measures of Center and Spread Summary.html	12.1 KB
10. Text Introduction to the Standard Deviation and Variance.html	12.5 KB
19. Quiz Shape and Outliers (What's the Impact).html	12.5 KB
13. Advanced Standard Deviation and Variance.html	12.7 KB
26. Text Descriptive Statistics Summary .html	12.8 KB
15. Homework 1 Final Quiz on Measures Spread.html	14.1 KB
14. Quiz Applied Standard Deviation and Variance.html	14.8 KB
24. Quiz Shape and Outliers (Visuals).html	15.0 KB
25. Quiz Shape and Outliers (Final Quiz).html	15.9 KB
23. Quiz Shape and Outliers (Comparing Distributions).html	16.0 KB
29. Quiz Descriptive vs. Inferential (Bagels).html	17.8 KB
03. What is the Difference-I3tQvrCgNrQ.mp4	1.3 MB
01. 26 Spread Part 1-zb76Z_viYLY.mp4	1.9 MB
31. Descriptive Statistics Summary-Fe7Gta2SfLA.mp4	2.0 MB
02. Histograms-4t10RgUv2Fc.mp4	2.7 MB
06. 5 Number Summary to Variance-Ljhau0hrZ1g.mp4	3.0 MB
17. Shape of Distributions-UnN99AAYf8k.mp4	3.3 MB
18. Data in the Real World-HmipezTjTDY.mp4	4.0 MB
22. Outliers Advice-BhhDoTgYQmI.mp4	4.0 MB
04. 29 Number Summary-gzUN5zKLHjQ.mp4	4.6 MB
21. Working with Outliers-4RnQjtJB8t8.mp4	5.1 MB
07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.mp4	5.5 MB
12. Variance Standard Deviation Final Points-vXUgp2375j4.mp4	5.6 MB
20. Outliers-HKIsvkZUZfo.mp4	6.0 MB
27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.mp4	6.5 MB
11. Why the Standard Deviation-XlTBvjQ2t8w.mp4	6.9 MB
08. Standard Deviation Calculation-H5zA1A-XPoY.mp4	7.1 MB
/Part 07-Module 01-Lesson 04_SQL Subqueries Temporary Tables/
16. Subquery Conclusion-TUYvx2K9-5k.zh-CN.vtt	0.4 KB
16. Subquery Conclusion-TUYvx2K9-5k.en.vtt	0.5 KB
02. Introduction to Subqueries-s8ZJMj4gscY.zh-CN.vtt	0.5 KB
02. Introduction to Subqueries-s8ZJMj4gscY.en.vtt	0.6 KB
16. Subquery Conclusion-TUYvx2K9-5k.pt-BR.vtt	0.7 KB
16. Subquery Conclusion-TUYvx2K9-5k.ar.vtt	0.7 KB
01. Introduction-2Y279421n3A.zh-CN.vtt	0.7 KB
02. Introduction to Subqueries-s8ZJMj4gscY.pt-BR.vtt	0.8 KB
01. Introduction-2Y279421n3A.en.vtt	0.8 KB
01. Introduction-2Y279421n3A.pt-BR.vtt	0.9 KB
02. Introduction to Subqueries-s8ZJMj4gscY.ar.vtt	0.9 KB
01. Introduction-2Y279421n3A.ar.vtt	1.1 KB
12. Subqueries Using WITH-IszTmDKyKHI.zh-CN.vtt	1.2 KB
12. Common Table Expressions-qtEKO7B8bXQ.zh-CN.vtt	1.3 KB
12. Subqueries Using WITH-IszTmDKyKHI.en.vtt	1.4 KB
12. Common Table Expressions-qtEKO7B8bXQ.en.vtt	1.4 KB
06. Subqueries Part II-jko-RrZd0R8.zh-CN.vtt	1.5 KB
12. Subqueries Using WITH-IszTmDKyKHI.pt-BR.vtt	1.6 KB
06. Subqueries Part II-jko-RrZd0R8.en.vtt	1.6 KB
12. Common Table Expressions-qtEKO7B8bXQ.pt-BR.vtt	1.8 KB
12. Subqueries Using WITH-IszTmDKyKHI.ar.vtt	1.9 KB
06. Subqueries Part II-jko-RrZd0R8.pt-BR.vtt	1.9 KB
12. Common Table Expressions-qtEKO7B8bXQ.ar.vtt	2.0 KB
06. Subqueries Part II-jko-RrZd0R8.ar.vtt	2.2 KB
03. Your First Subquery-cTM1jPYXLoQ.zh-CN.vtt	2.6 KB
03. Your First Subquery-cTM1jPYXLoQ.en.vtt	2.9 KB
03. Your First Subquery-cTM1jPYXLoQ.pt-BR.vtt	3.2 KB
03. Your First Subquery-cTM1jPYXLoQ.ar.vtt	4.1 KB
index.html	5.0 KB
02. Video Introduction to Subqueries.html	7.2 KB
16. Video Subquery Conclusion.html	7.6 KB
01. Video Introduction.html	7.7 KB
09. Solution Video More On Subqueries.html	7.8 KB
08. Solutions More On Subqueries.html	8.0 KB
06. Video More On Subqueries.html	8.0 KB
12. Video WITH.html	8.3 KB
04. Solutions Write Your First Subquery.html	8.3 KB
09. SQL Subquery Video-10pmKmTI_CA.pt-BR.vtt	8.8 KB
10. Quiz Subquery Mania.html	9.0 KB
09. SQL Subquery Video-10pmKmTI_CA.en.vtt	9.0 KB
05. Text Subquery Formatting.html	9.2 KB
14. Quiz WITH.html	9.4 KB
11. Subquery Solution Video-Y6S3S0LsMrw.zh-CN.vtt	11.0 KB
13. Text + Quiz WITH vs. Subquery.html	11.1 KB
15. Solutions WITH.html	12.2 KB
07. Quiz More On Subqueries.html	12.9 KB
11. Subquery Solution Video-Y6S3S0LsMrw.en.vtt	12.9 KB
11. Subquery Solution Video-Y6S3S0LsMrw.pt-BR.vtt	13.7 KB
03. Video + Quiz Write Your First Subquery.html	15.0 KB
11. Subquery Solution Video-Y6S3S0LsMrw.ar.vtt	16.3 KB
11. Solution Subquery Mania.html	17.7 KB
12. Subqueries Using WITH-IszTmDKyKHI.mp4	1.9 MB
06. Subqueries Part II-jko-RrZd0R8.mp4	2.5 MB
01. Introduction-2Y279421n3A.mp4	2.5 MB
16. Subquery Conclusion-TUYvx2K9-5k.mp4	2.7 MB
02. Introduction to Subqueries-s8ZJMj4gscY.mp4	3.0 MB
03. Your First Subquery-cTM1jPYXLoQ.mp4	4.5 MB
12. Common Table Expressions-qtEKO7B8bXQ.mp4	5.5 MB
09. SQL Subquery Video-10pmKmTI_CA.mp4	11.3 MB
11. Subquery Solution Video-Y6S3S0LsMrw.mp4	18.1 MB
/
README.txt	0.5 KB
index.html	432.5 KB
/Part 06-Module 01-Lesson 05_Scripting/
29. Conclusion-rEMrswkLvh8.zh-CN.vtt	0.5 KB
29. Conclusion-rEMrswkLvh8.en.vtt	0.5 KB
29. Conclusion-rEMrswkLvh8.pt-BR.vtt	0.5 KB
01. Scripting-Qxe_gCiXUDg.zh-CN.vtt	0.6 KB
01. Scripting-Qxe_gCiXUDg.en.vtt	0.6 KB
29. Conclusion-rEMrswkLvh8.ar.vtt	0.7 KB
01. Scripting-Qxe_gCiXUDg.pt-BR.vtt	0.8 KB
01. Scripting-Qxe_gCiXUDg.ar.vtt	0.9 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.zh-CN.vtt	1.6 KB
02. Python Installation-2_P05aYChqQ.zh-CN.vtt	1.7 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.en.vtt	1.8 KB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.zh-CN.vtt	1.8 KB
02. Python Installation-2_P05aYChqQ.en.vtt	1.8 KB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.zh-CN.vtt	2.0 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.pt-BR.vtt	2.0 KB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.en.vtt	2.1 KB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.en.vtt	2.1 KB
02. Python Installation-2_P05aYChqQ.pt-BR.vtt	2.2 KB
05. Running A Python Script-vMKemwCderg.zh-CN.vtt	2.2 KB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.pt-BR.vtt	2.2 KB
17. Reading And Writing Files-w-ZG6DMkVi4.zh-CN.vtt	2.3 KB
05. Running A Python Script-vMKemwCderg.en.vtt	2.3 KB
02. Python Installation-2_P05aYChqQ.ar.vtt	2.3 KB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.pt-BR.vtt	2.4 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.ar.vtt	2.5 KB
17. Reading And Writing Files-w-ZG6DMkVi4.en.vtt	2.5 KB
08. Scripting With Raw Input-Fs9uLV2qfgI.zh-CN.vtt	2.5 KB
05. Running A Python Script-vMKemwCderg.pt-BR.vtt	2.6 KB
11. Errors And Exceptions-DmthSiy2d0U.zh-CN.vtt	2.7 KB
08. Scripting With Raw Input-Fs9uLV2qfgI.en.vtt	2.8 KB
21. The Standard Library-Fw3vf0tDrJM.zh-CN.vtt	2.8 KB
11. Errors And Exceptions-DmthSiy2d0U.en.vtt	2.8 KB
17. Reading And Writing Files-w-ZG6DMkVi4.pt-BR.vtt	2.9 KB
13. Handling Errors Try Except Finally-S6hwBZG0KwM.zh-CN.vtt	2.9 KB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.ar.vtt	2.9 KB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.ar.vtt	3.0 KB
13. Handling Errors Try Except Finally-S6hwBZG0KwM.en.vtt	3.0 KB
05. Running A Python Script-vMKemwCderg.ar.vtt	3.1 KB
11. Errors And Exceptions-DmthSiy2d0U.pt-BR.vtt	3.1 KB
21. The Standard Library-Fw3vf0tDrJM.en.vtt	3.1 KB
26. Third Party Libraries And Package Managers-epOze9gC6T4.zh-CN.vtt	3.2 KB
08. Scripting With Raw Input-Fs9uLV2qfgI.pt-BR.vtt	3.4 KB
17. Reading And Writing Files-w-ZG6DMkVi4.ar.vtt	3.4 KB
27. Experimenting With An Interpreter-hspPtnQwMPg.zh-CN.vtt	3.4 KB
13. Handling Errors Try Except Finally-S6hwBZG0KwM.pt-BR.vtt	3.5 KB
21. The Standard Library-Fw3vf0tDrJM.pt-BR.vtt	3.5 KB
26. Third Party Libraries And Package Managers-epOze9gC6T4.en.vtt	3.6 KB
11. Errors And Exceptions-DmthSiy2d0U.ar.vtt	3.8 KB
26. Third Party Libraries And Package Managers-epOze9gC6T4.pt-BR.vtt	3.8 KB
27. Experimenting With An Interpreter-hspPtnQwMPg.en.vtt	3.9 KB
08. Scripting With Raw Input-Fs9uLV2qfgI.ar.vtt	4.0 KB
06. Programming Environment Setup-EKxDnCK0NAk.zh-CN.vtt	4.0 KB
24. Techniques For Importing Modules-jPGyFgcIvsM.zh-CN.vtt	4.0 KB
06. Programming Environment Setup-EKxDnCK0NAk.en.vtt	4.2 KB
27. Experimenting With An Interpreter-hspPtnQwMPg.pt-BR.vtt	4.3 KB
13. Handling Errors Try Except Finally-S6hwBZG0KwM.ar.vtt	4.4 KB
24. Techniques For Importing Modules-jPGyFgcIvsM.en.vtt	4.4 KB
26. Third Party Libraries And Package Managers-epOze9gC6T4.ar.vtt	4.5 KB
21. The Standard Library-Fw3vf0tDrJM.ar.vtt	4.6 KB
17. Reading And Writing Files Part II-1GRv1S6K8gQ.zh-CN.vtt	4.7 KB
24. Techniques For Importing Modules-jPGyFgcIvsM.pt-BR.vtt	5.0 KB
06. Programming Environment Setup-EKxDnCK0NAk.pt-BR.vtt	5.0 KB
17. Reading And Writing Files Part II-1GRv1S6K8gQ.en.vtt	5.0 KB
27. Experimenting With An Interpreter-hspPtnQwMPg.ar.vtt	5.2 KB
17. Reading And Writing Files Part II-1GRv1S6K8gQ.pt-BR.vtt	5.6 KB
index.html	6.2 KB
24. Techniques For Importing Modules-jPGyFgcIvsM.ar.vtt	6.3 KB
06. Programming Environment Setup-EKxDnCK0NAk.ar.vtt	6.3 KB
20. Importing Files-qjeSn6zZbR0.zh-CN.vtt	6.3 KB
17. Reading And Writing Files Part II-1GRv1S6K8gQ.ar.vtt	6.5 KB
20. Importing Files-qjeSn6zZbR0.en.vtt	6.6 KB
20. Importing Files-qjeSn6zZbR0.pt-BR.vtt	7.5 KB
29. Conclusion.html	8.1 KB
15. Solution Handling Input Errors.html	8.2 KB
23. Solution The Standard Library.html	8.3 KB
10. Solution Scripting with Raw Input.html	8.4 KB
21. The Standard Library.html	8.5 KB
01. Introduction.html	8.6 KB
16. Accessing Error Messages.html	8.7 KB
07. Editing a Python Script.html	8.8 KB
20. Importing Files-qjeSn6zZbR0.ar.vtt	8.9 KB
11. Errors and Exceptions.html	8.9 KB
19. Solution Reading and Writing Files.html	9.0 KB
08. Scripting with Raw Input.html	9.6 KB
05. Running a Python Script.html	9.7 KB
06. Programming Environment Setup.html	10.0 KB
03. Install Python Using Anaconda.html	10.1 KB
09. Quiz Scripting with Raw Input.html	10.2 KB
14. Practice Handling Input Errors.html	10.3 KB
25. Quiz Techniques for Importing Modules.html	10.9 KB
27. Experimenting with an Interpreter.html	10.9 KB
24. Techniques for Importing Modules.html	11.2 KB
02. Python Installation.html	11.2 KB
13. Handling Errors.html	11.5 KB
20. Importing Local Scripts.html	11.7 KB
12. Errors and Exceptions.html	12.3 KB
17. Reading and Writing Files.html	13.1 KB
26. Third-Party Libraries.html	13.2 KB
28. Online Resources.html	14.3 KB
04. [For Windows] Configuring Git Bash to Run Python.html	14.8 KB
22. Quiz The Standard Library.html	17.0 KB
18. Quiz Reading and Writing Files.html	17.1 KB
17. Reading And Writing Files Using With-OQ-Y0mMjm00.mp4	2.0 MB
05. Running A Python Script-vMKemwCderg.mp4	2.7 MB
29. Conclusion-rEMrswkLvh8.mp4	3.0 MB
13. Handling Error Specifying Exceptions-EHW5I7shdJg.mp4	3.3 MB
11. Errors And Exceptions-DmthSiy2d0U.mp4	3.5 MB
01. Scripting-Qxe_gCiXUDg.mp4	4.4 MB
13. Handling Errors Try Except Finally-S6hwBZG0KwM.mp4	4.4 MB
24. Techniques For Importing Modules Part II-aASigWQ_XU0.mp4	5.2 MB
08. Scripting With Raw Input-Fs9uLV2qfgI.mp4	5.5 MB
24. Techniques For Importing Modules-jPGyFgcIvsM.mp4	5.6 MB
27. Experimenting With An Interpreter-hspPtnQwMPg.mp4	5.9 MB
17. Reading And Writing Files Part II-1GRv1S6K8gQ.mp4	6.2 MB
02. Python Installation-2_P05aYChqQ.mp4	7.0 MB
26. Third Party Libraries And Package Managers-epOze9gC6T4.mp4	7.7 MB
06. Programming Environment Setup-EKxDnCK0NAk.mp4	7.8 MB
21. The Standard Library-Fw3vf0tDrJM.mp4	11.1 MB
17. Reading And Writing Files-w-ZG6DMkVi4.mp4	11.3 MB
20. Importing Files-qjeSn6zZbR0.mp4	12.0 MB
/Part 12-Module 01-Lesson 13_Case Study AB tests/
14. Analyzing Multiple Metrics-DtZghKNa7Ak.zh-CN.vtt	0.5 KB
18. Conclusion-qmGjRpMVBz8.zh-CN.vtt	0.5 KB
01. Case Study Introduction-J5uvdPxHIfs.zh-CN.vtt	0.5 KB
14. Analyzing Multiple Metrics-DtZghKNa7Ak.en.vtt	0.6 KB
18. Conclusion-qmGjRpMVBz8.en.vtt	0.6 KB
01. Case Study Introduction-J5uvdPxHIfs.en.vtt	0.6 KB
01. Case Study Introduction-J5uvdPxHIfs.pt-BR.vtt	0.7 KB
18. Conclusion-qmGjRpMVBz8.pt-BR.vtt	0.7 KB
14. Analyzing Multiple Metrics-DtZghKNa7Ak.pt-BR.vtt	0.8 KB
09. Experiment II-fq4eO7CybA4.zh-CN.vtt	1.0 KB
16. Drawing Conclusions-s-4ghG9vrGQ.zh-CN.vtt	1.1 KB
09. Experiment II-fq4eO7CybA4.en.vtt	1.1 KB
16. Drawing Conclusions-s-4ghG9vrGQ.en.vtt	1.3 KB
09. Experiment II-fq4eO7CybA4.pt-BR.vtt	1.3 KB
16. Drawing Conclusions-s-4ghG9vrGQ.pt-BR.vtt	1.6 KB
04. Business Example-Wzz7omSDfEk.zh-CN.vtt	1.8 KB
04. Business Example-Wzz7omSDfEk.en.vtt	2.0 KB
05. Experiment I-JLKAdT2JESk.zh-CN.vtt	2.2 KB
11. Metric - Average Reading Duration-w6Y9ZxHDEbw.zh-CN.vtt	2.2 KB
04. Business Example-Wzz7omSDfEk.pt-BR.vtt	2.3 KB
05. Experiment I-JLKAdT2JESk.en.vtt	2.6 KB
11. Metric - Average Reading Duration-w6Y9ZxHDEbw.en.vtt	2.6 KB
02. AB Testing-EcWvhbIjT9o.zh-CN.vtt	2.6 KB
07. Metric - Click Through Rate-EpfoKAwV_Eg.zh-CN.vtt	3.0 KB
05. Experiment I-JLKAdT2JESk.pt-BR.vtt	3.0 KB
11. Metric - Average Reading Duration-w6Y9ZxHDEbw.pt-BR.vtt	3.1 KB
02. AB Testing-EcWvhbIjT9o.en.vtt	3.2 KB
07. Metric - Click Through Rate-EpfoKAwV_Eg.en.vtt	3.7 KB
02. AB Testing-EcWvhbIjT9o.pt-BR.vtt	3.7 KB
07. Metric - Click Through Rate-EpfoKAwV_Eg.pt-BR.vtt	4.1 KB
index.html	5.0 KB
18. Conclusion.html	6.8 KB
01. Introduction.html	7.0 KB
14. Analyzing Multiple Metrics.html	7.1 KB
04. Business Example.html	7.4 KB
09. Experiment II.html	7.5 KB
07. Metric - Click Through Rate.html	7.6 KB
11. Metric - Average Reading Duration.html	7.7 KB
16. Drawing Conclusions.html	7.7 KB
08. Click Through Rate.html	8.0 KB
05. Experiment I.html	8.2 KB
02. AB Testing.html	8.4 KB
15. Quiz Analyzing Multiple Metrics.html	9.5 KB
10. Metric - Enrollment Rate.html	10.0 KB
13. Metric - Completion Rate.html	10.0 KB
03. AB Testing.html	10.5 KB
12. Metric - Average Classroom Time.html	10.9 KB
17. Quiz Difficulties in AB Testing.html	15.1 KB
06. Quiz Experiment I.html	16.0 KB
01. Case Study Introduction-J5uvdPxHIfs.mp4	2.2 MB
18. Conclusion-qmGjRpMVBz8.mp4	2.2 MB
14. Analyzing Multiple Metrics-DtZghKNa7Ak.mp4	2.4 MB
09. Experiment II-fq4eO7CybA4.mp4	2.4 MB
05. Experiment I-JLKAdT2JESk.mp4	3.2 MB
11. Metric - Average Reading Duration-w6Y9ZxHDEbw.mp4	3.5 MB
07. Metric - Click Through Rate-EpfoKAwV_Eg.mp4	4.1 MB
04. Business Example-Wzz7omSDfEk.mp4	4.4 MB
16. Drawing Conclusions-s-4ghG9vrGQ.mp4	4.7 MB
02. AB Testing-EcWvhbIjT9o.mp4	6.6 MB
/Part 07-Module 01-Lesson 06_[Advanced] SQL Window Functions/
23. Window Functions Conclusion-2ZdocDMw7D8.pt-BR.vtt	0.5 KB
23. Window Functions Conclusion-2ZdocDMw7D8.zh-CN.vtt	0.5 KB
23. Window Functions Conclusion-2ZdocDMw7D8.en.vtt	0.6 KB
19. Introduction to Percentiles-t7SX2ZEdxKA.zh-CN.vtt	0.7 KB
19. Introduction to Percentiles-t7SX2ZEdxKA.en.vtt	0.8 KB
13. Aliases for Multiple Window Functions-RWe03bULYnM.zh-CN.vtt	0.8 KB
19. Introduction to Percentiles-t7SX2ZEdxKA.pt-BR.vtt	0.8 KB
23. Window Functions Conclusion-2ZdocDMw7D8.ar.vtt	0.8 KB
13. Aliases for Multiple Window Functions-RWe03bULYnM.en.vtt	0.8 KB
13. Aliases for Multiple Window Functions-RWe03bULYnM.pt-BR.vtt	0.8 KB
01. Introduction to Window Functions-u3qLjP8KMKc.zh-CN.vtt	0.9 KB
01. Introduction to Window Functions-u3qLjP8KMKc.en.vtt	0.9 KB
01. Introduction to Window Functions-u3qLjP8KMKc.pt-BR.vtt	0.9 KB
13. Aliases for Multiple Window Functions-RWe03bULYnM.ar.vtt	1.0 KB
19. Introduction to Percentiles-t7SX2ZEdxKA.ar.vtt	1.0 KB
20. Percentiles-Qro8uvysnys.zh-CN.vtt	1.0 KB
01. Introduction to Window Functions-u3qLjP8KMKc.ar.vtt	1.2 KB
20. Percentiles-Qro8uvysnys.pt-BR.vtt	1.2 KB
20. Percentiles-Qro8uvysnys.en.vtt	1.2 KB
20. Percentiles-Qro8uvysnys.ar.vtt	1.5 KB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.zh-CN.vtt	1.7 KB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.en.vtt	1.9 KB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.pt-BR.vtt	1.9 KB
02. Window Functions-gp0RPgkDHsQ.zh-CN.vtt	2.4 KB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.ar.vtt	2.4 KB
07. Running Totals And Count-rNJwmnzUTxg.zh-CN.vtt	2.5 KB
10. Aggregates in Window Functions-Dxew5w3VF7k.zh-CN.vtt	2.5 KB
10. Aggregates in Window Functions-Dxew5w3VF7k.pt-BR.vtt	2.5 KB
02. Window Functions-gp0RPgkDHsQ.pt-BR.vtt	2.5 KB
10. Aggregates in Window Functions-Dxew5w3VF7k.en.vtt	2.6 KB
07. Running Totals And Count-rNJwmnzUTxg.pt-BR.vtt	2.7 KB
07. Running Totals And Count-rNJwmnzUTxg.en.vtt	2.7 KB
02. Window Functions-gp0RPgkDHsQ.en.vtt	2.7 KB
07. Running Totals And Count-rNJwmnzUTxg.ar.vtt	3.5 KB
10. Aggregates in Window Functions-Dxew5w3VF7k.ar.vtt	3.6 KB
02. Window Functions-gp0RPgkDHsQ.ar.vtt	3.6 KB
index.html	5.9 KB
23. Video Recap.html	7.8 KB
07. Video ROW_NUMBER RANK.html	7.8 KB
19. Video Introduction to Percentiles.html	7.8 KB
10. Video Aggregates in Window Functions.html	7.9 KB
01. Video Introduction to Window Functions.html	7.9 KB
13. Video Aliases for Multiple Window Functions.html	8.2 KB
04. Solutions Window Functions 1.html	8.4 KB
09. Solutions ROW_NUMBER RANK.html	8.4 KB
12. Solutions Aggregates in Window Functions.html	8.5 KB
08. Quiz ROW_NUMBER RANK.html	8.6 KB
18. Solutions Comparing a Row to Previous Row.html	8.6 KB
03. Quiz Window Functions 1.html	8.6 KB
06. Solutions Window Functions 2.html	8.8 KB
05. Quiz Window Functions 2.html	8.8 KB
22. Solutions Percentiles.html	8.9 KB
15. Solutions Aliases for Multiple Window Functions.html	9.0 KB
20. Video Percentiles.html	9.2 KB
17. Quiz Comparing a Row to Previous Row.html	9.5 KB
02. Video Window Functions 1.html	9.6 KB
21. Quiz Percentiles.html	10.1 KB
14. Quiz Aliases for Multiple Window Functions.html	11.5 KB
11. Quiz Aggregates in Window Functions.html	17.0 KB
16. Video Comparing a Row to Previous Row.html	22.0 KB
20. Percentiles-Qro8uvysnys.mp4	1.5 MB
23. Window Functions Conclusion-2ZdocDMw7D8.mp4	2.3 MB
13. Aliases for Multiple Window Functions-RWe03bULYnM.mp4	2.4 MB
16. Comparing Row to Previous Row-Z_x5ZJyDZog.mp4	3.0 MB
19. Introduction to Percentiles-t7SX2ZEdxKA.mp4	3.3 MB
10. Aggregates in Window Functions-Dxew5w3VF7k.mp4	3.3 MB
07. Running Totals And Count-rNJwmnzUTxg.mp4	3.4 MB
02. Window Functions-gp0RPgkDHsQ.mp4	3.9 MB
01. Introduction to Window Functions-u3qLjP8KMKc.mp4	4.0 MB
/Part 02-Module 01-Lesson 08_Model Evaluation Metrics/
07. Accuracy 2-ueYCLfd_aNQ.zh-CN.vtt	0.5 KB
07. Accuracy 2-ueYCLfd_aNQ.pt-BR.vtt	0.6 KB
07. Accuracy 2-ueYCLfd_aNQ.pt.vtt	0.7 KB
07. Accuracy 2-ueYCLfd_aNQ.en.vtt	0.7 KB
07. Accuracy 2-ueYCLfd_aNQ.en-US.vtt	0.7 KB
05. Confusion-Matrix-Solution-ywwSzyU9rYs.pt-BR.vtt	0.9 KB
01. 01 Intro-4C4PuJANIdE.zh-CN.vtt	0.9 KB
01. 01 Intro-4C4PuJANIdE.pt-BR.vtt	0.9 KB
05. Confusion-Matrix-Solution-ywwSzyU9rYs.zh-CN.vtt	1.0 KB
01. 01 Intro-4C4PuJANIdE.en.vtt	1.0 KB
05. Confusion-Matrix-Solution-ywwSzyU9rYs.en.vtt	1.1 KB
05. Confusion-Matrix-Solution-ywwSzyU9rYs.en-US.vtt	1.1 KB
02. 02 Intro SC V1-mIgABrjJVBY.pt-BR.vtt	1.4 KB
02. 02 Intro SC V1-mIgABrjJVBY.en.vtt	1.5 KB
06. Accuracy-s6SfhPTNOHA.zh-CN.vtt	1.7 KB
20. Outro SC V1-YD1grQje9fw.en.vtt	1.7 KB
20. Outro SC V1-YD1grQje9fw.pt-BR.vtt	1.8 KB
06. Accuracy-s6SfhPTNOHA.en.vtt	1.8 KB
06. Accuracy-s6SfhPTNOHA.pt-BR.vtt	1.9 KB
06. Accuracy-s6SfhPTNOHA.en-US.vtt	2.1 KB
11. 06 Precision SC V1-q2wVorBfefU.pt-BR.vtt	2.7 KB
09. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.pt-BR.vtt	2.7 KB
11. 06 Precision SC V1-q2wVorBfefU.en.vtt	2.8 KB
12. 07 Recall SC V1-0n5wUZiefkQ.pt-BR.vtt	2.9 KB
08. When Accuracy Wont Work-r0-O-gIDXZ0.pt-BR.vtt	2.9 KB
08. When Accuracy Wont Work-r0-O-gIDXZ0.en.vtt	2.9 KB
10. Answer False Negatives And Positives-KOytJL1lvgg.en.vtt	2.9 KB
10. Answer False Negatives And Positives-KOytJL1lvgg.pt-BR.vtt	2.9 KB
09. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.en.vtt	3.0 KB
12. 07 Recall SC V1-0n5wUZiefkQ.en.vtt	3.1 KB
17. Regression-Metrics-906P4BPnl9A.zh-CN.vtt	3.7 KB
14. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.pt-BR.vtt	3.8 KB
17. Regression-Metrics-906P4BPnl9A.pt-BR.vtt	4.0 KB
14. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.en.vtt	4.1 KB
17. Regression-Metrics-906P4BPnl9A.en-US.vtt	4.3 KB
04. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt	4.9 KB
index.html	4.9 KB
04. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt	5.1 KB
04. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt	5.6 KB
04. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt	5.8 KB
20. Summary.html	6.4 KB
02. Outline.html	6.5 KB
08. When accuracy won't work.html	6.5 KB
01. Intro.html	6.5 KB
15. ROC Curve.html	6.6 KB
17. Regression Metrics.html	6.6 KB
05. Confusion Matrix 2.html	6.8 KB
07. Accuracy 2.html	6.8 KB
10. Precision and Recall.html	6.9 KB
03. Testing-gmxGRJSKEb0.zh-CN.vtt	6.9 KB
18. Sklearn Practice (Regression).html	7.1 KB
16. Sklearn Practice (Classification).html	7.1 KB
15. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt	7.5 KB
03. Testing-gmxGRJSKEb0.pt-BR.vtt	7.5 KB
13. 08 F1 Score SC V1-TRzBeL07fSg.pt-BR.vtt	7.6 KB
13. F1 Score.html	7.6 KB
06. Accuracy.html	7.7 KB
03. Testing-gmxGRJSKEb0.en-US.vtt	7.8 KB
13. 08 F1 Score SC V1-TRzBeL07fSg.en.vtt	8.1 KB
11. Precision.html	8.2 KB
15. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt	8.3 KB
12. Recall.html	8.3 KB
15. ROC Curve-2Iw5TiGzJI4.en.vtt	8.9 KB
09. False Negatives and Positives.html	8.9 KB
04. Confusion Matrix.html	9.3 KB
14. F-beta Score.html	11.3 KB
03. Testing your models.html	11.7 KB
19. Text Recap.html	15.7 KB
07. Accuracy 2-ueYCLfd_aNQ.mp4	587.6 KB
02. 02 Intro SC V1-mIgABrjJVBY.mp4	1.1 MB
05. Confusion-Matrix-Solution-ywwSzyU9rYs.mp4	1.2 MB
20. Outro SC V1-YD1grQje9fw.mp4	1.5 MB
12. 07 Recall SC V1-0n5wUZiefkQ.mp4	2.3 MB
08. When Accuracy Wont Work-r0-O-gIDXZ0.mp4	2.3 MB
09. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.mp4	2.3 MB
10. Answer False Negatives And Positives-KOytJL1lvgg.mp4	2.3 MB
11. 06 Precision SC V1-q2wVorBfefU.mp4	2.4 MB
06. Accuracy-s6SfhPTNOHA.mp4	2.5 MB
14. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.mp4	2.8 MB
01. 01 Intro-4C4PuJANIdE.mp4	2.9 MB
17. Regression-Metrics-906P4BPnl9A.mp4	3.5 MB
04. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4	5.3 MB
03. Testing-gmxGRJSKEb0.mp4	5.9 MB
13. 08 F1 Score SC V1-TRzBeL07fSg.mp4	6.3 MB
15. ROC Curve-2Iw5TiGzJI4.mp4	7.0 MB
/Part 12-Module 01-Lesson 12_Hypothesis Testing/
01. Hypothesis Testing Introduction-Qi6F2rJAmrA.zh-CN.vtt	0.5 KB
01. Hypothesis Testing Introduction-Qi6F2rJAmrA.pt-BR.vtt	0.6 KB
01. Hypothesis Testing Introduction-Qi6F2rJAmrA.en.vtt	0.6 KB
16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.zh-CN.vtt	0.9 KB
32. Hypothesis Testing Conclusion-nQFchD4XPPs.zh-CN.vtt	0.9 KB
16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.pt-BR.vtt	1.1 KB
32. Hypothesis Testing Conclusion-nQFchD4XPPs.en.vtt	1.1 KB
16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.en.vtt	1.1 KB
32. Hypothesis Testing Conclusion-nQFchD4XPPs.pt-BR.vtt	1.1 KB
29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.zh-CN.vtt	1.5 KB
29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.en.vtt	1.7 KB
24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.zh-CN.vtt	1.8 KB
07. Types Of Errors - Part I-aw6GMxIvENc.zh-CN.vtt	1.8 KB
23. Connecting Errors and P-Values-hFNjd5l9CLs.zh-CN.vtt	1.9 KB
29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.pt-BR.vtt	1.9 KB
28. Multiple Testing Corrections-DuMgeHrkIF0.zh-CN.vtt	1.9 KB
23. Connecting Errors and P-Values-hFNjd5l9CLs.pt-BR.vtt	2.0 KB
24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.en.vtt	2.0 KB
07. Types Of Errors - Part I-aw6GMxIvENc.pt-BR.vtt	2.0 KB
24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.pt-BR.vtt	2.0 KB
03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.zh-CN.vtt	2.1 KB
07. Types Of Errors - Part I-aw6GMxIvENc.en.vtt	2.2 KB
14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.zh-CN.vtt	2.2 KB
23. Connecting Errors and P-Values-hFNjd5l9CLs.en.vtt	2.2 KB
28. Multiple Testing Corrections-DuMgeHrkIF0.pt-BR.vtt	2.3 KB
28. Multiple Testing Corrections-DuMgeHrkIF0.en.vtt	2.3 KB
02. Hypothesis Testing-9GbHHpiK6wk.zh-CN.vtt	2.3 KB
05. Setting Up Hypotheses - Part II-nByvHz77GiA.zh-CN.vtt	2.3 KB
16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.zh-CN.vtt	2.4 KB
02. Hypothesis Testing-9GbHHpiK6wk.pt-BR.vtt	2.5 KB
03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.en.vtt	2.5 KB
14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.pt-BR.vtt	2.5 KB
02. Hypothesis Testing-9GbHHpiK6wk.en.vtt	2.6 KB
12. Types Of Errors - Part III-Z-srkCPsdaM.zh-CN.vtt	2.6 KB
14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.en.vtt	2.6 KB
09. Types Of Errors - Part II-mbdSQ5CjdFs.zh-CN.vtt	2.6 KB
16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.en.vtt	2.7 KB
03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.pt-BR.vtt	2.8 KB
17. Simulating From the Null-sL2yJtHZd8Y.zh-CN.vtt	2.8 KB
05. Setting Up Hypotheses - Part II-nByvHz77GiA.en.vtt	2.8 KB
16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.pt-BR.vtt	2.8 KB
27. What If Our Sample Is Large-WoTCeSTL1eM.zh-CN.vtt	2.8 KB
05. Setting Up Hypotheses - Part II-nByvHz77GiA.pt-BR.vtt	2.9 KB
20. Calculating the p-value-_W3Jg7jQ8jI.zh-CN.vtt	2.9 KB
12. Types Of Errors - Part III-Z-srkCPsdaM.en.vtt	3.0 KB
12. Types Of Errors - Part III-Z-srkCPsdaM.pt-BR.vtt	3.0 KB
09. Types Of Errors - Part II-mbdSQ5CjdFs.pt-BR.vtt	3.1 KB
27. What If Our Sample Is Large-WoTCeSTL1eM.pt-BR.vtt	3.1 KB
09. Types Of Errors - Part II-mbdSQ5CjdFs.en.vtt	3.2 KB
27. What If Our Sample Is Large-WoTCeSTL1eM.en.vtt	3.2 KB
17. Simulating From the Null-sL2yJtHZd8Y.pt-BR.vtt	3.3 KB
17. Simulating From the Null-sL2yJtHZd8Y.en.vtt	3.4 KB
19. What Is A P-value Anyway-eU6pUZjqviA.zh-CN.vtt	3.4 KB
20. Calculating the p-value-_W3Jg7jQ8jI.pt-BR.vtt	3.7 KB
20. Calculating the p-value-_W3Jg7jQ8jI.en.vtt	3.7 KB
19. What Is A P-value Anyway-eU6pUZjqviA.en.vtt	4.2 KB
19. What Is A P-value Anyway-eU6pUZjqviA.pt-BR.vtt	4.3 KB
index.html	7.0 KB
02. Hypothesis Testing.html	9.0 KB
07. Types of Errors - Part I.html	9.1 KB
32. Hypothesis Testing Conclusion.html	9.1 KB
20. Video Calculating the p-value.html	9.6 KB
01. Introduction.html	9.8 KB
24. Conclusions in Hypothesis Testing.html	9.9 KB
29. Other Things to Consider - How Do CIs and HTs Compare.html	10.1 KB
23. Connecting Errors and P-Values.html	10.1 KB
17. Video Simulating from the Null.html	10.2 KB
28. Other Things to Consider - What if Test More Than Once.html	10.3 KB
09. Types of Errors - Part II.html	10.6 KB
12. Types of Errors - Part III.html	10.7 KB
03. Setting Up Hypothesis Tests - Part I.html	10.7 KB
05. Setting Up Hypothesis Tests - Part II.html	11.0 KB
14. Common Types of Hypothesis Tests.html	11.1 KB
16. How Do We Choose Between Hypotheses.html	11.2 KB
27. Other Things to Consider - What if Our Sample is Large.html	11.2 KB
08. Quiz Types of Errors - Part I.html	11.3 KB
04. Quiz Setting Up Hypotheses.html	11.3 KB
19. What is a p-value Anyway.html	11.4 KB
22. Quiz Calculating a p-value.html	12.1 KB
10. Quiz Types of Errors - Part II(a).html	13.7 KB
21. Quiz What is a p-value Anyway.html	14.5 KB
26. Notebook + Quiz Drawing Conclusions.html	14.9 KB
13. Quiz Types of Errors - Part III.html	15.4 KB
25. Quiz Connecting Errors and P-Values.html	15.6 KB
15. Quiz More Hypothesis Testing Practice.html	16.0 KB
33. Quiz + Text Recap.html	16.8 KB
06. Quiz Setting Up Hypothesis Tests.html	17.1 KB
31. Notebook + Quiz Other Things to Consider.html	18.3 KB
18. Notebook + Quiz Simulating from the Null.html	19.6 KB
30. Notebook + Quiz Other Things to Consider.html	21.5 KB
11. Quiz Types of Errors - Part II(b).html	22.2 KB
16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.mp4	2.6 MB
01. Hypothesis Testing Introduction-Qi6F2rJAmrA.mp4	3.0 MB
07. Types Of Errors - Part I-aw6GMxIvENc.mp4	3.2 MB
20. Calculating the p-value-_W3Jg7jQ8jI.mp4	3.8 MB
17. Simulating From the Null-sL2yJtHZd8Y.mp4	3.9 MB
16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.mp4	4.1 MB
12. Types Of Errors - Part III-Z-srkCPsdaM.mp4	4.1 MB
32. Hypothesis Testing Conclusion-nQFchD4XPPs.mp4	4.6 MB
03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.mp4	5.3 MB
29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.mp4	7.3 MB
19. What Is A P-value Anyway-eU6pUZjqviA.mp4	7.6 MB
28. Multiple Testing Corrections-DuMgeHrkIF0.mp4	7.7 MB
24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.mp4	7.8 MB
05. Setting Up Hypotheses - Part II-nByvHz77GiA.mp4	8.0 MB
23. Connecting Errors and P-Values-hFNjd5l9CLs.mp4	9.0 MB
02. Hypothesis Testing-9GbHHpiK6wk.mp4	11.2 MB
14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.mp4	11.3 MB
09. Types Of Errors - Part II-mbdSQ5CjdFs.mp4	12.0 MB
27. What If Our Sample Is Large-WoTCeSTL1eM.mp4	12.5 MB
/Part 03-Module 01-Lesson 04_Keras/
06. Keras Lab-a50un22BsLI.zh-CN.vtt	0.5 KB
06. Keras Lab-a50un22BsLI.pt-BR.vtt	0.6 KB
06. Keras Lab-a50un22BsLI.en.vtt	0.6 KB
index.html	4.1 KB
06. Mini Project Intro.html	5.5 KB
08. Lab IMDB Data in Keras.html	6.0 KB
04. Lab Student Admissions in Keras.html	6.0 KB
01. Intro.html	6.2 KB
05. Optimizers in Keras.html	6.3 KB
07. Pre-Lab IMDB Data in Keras.html	9.8 KB
03. Pre-Lab Student Admissions in Keras.html	11.8 KB
02. Keras.html	15.9 KB
06. Keras Lab-a50un22BsLI.mp4	2.3 MB
/Part 04-Module 01-Lesson 03_Gaussian Mixture Models and Cluster Validation/
13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.zh-CN.vtt	0.6 KB
13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.en.vtt	0.6 KB
13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.pt-BR.vtt	0.7 KB
02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.zh-CN.vtt	1.0 KB
02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.en.vtt	1.2 KB
06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.zh-CN.vtt	1.2 KB
02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.pt-BR.vtt	1.3 KB
06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.en.vtt	1.5 KB
08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.zh-CN.vtt	1.5 KB
06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.pt-BR.vtt	1.6 KB
05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.zh-CN.vtt	1.7 KB
08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.en.vtt	1.8 KB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.zh-CN.vtt	1.8 KB
05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.en.vtt	2.0 KB
08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.pt-BR.vtt	2.0 KB
01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.zh-CN.vtt	2.1 KB
05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.pt-BR.vtt	2.1 KB
03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.zh-CN.vtt	2.1 KB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.en.vtt	2.2 KB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.pt-BR.vtt	2.3 KB
01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.en.vtt	2.3 KB
03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.pt-BR.vtt	2.4 KB
01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.pt-BR.vtt	2.5 KB
03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.en.vtt	2.5 KB
04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.zh-CN.vtt	2.9 KB
11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.zh-CN.vtt	2.9 KB
11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.pt-BR.vtt	3.0 KB
04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.en.vtt	3.1 KB
11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.en.vtt	3.3 KB
04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.pt-BR.vtt	3.4 KB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.zh-CN.vtt	3.8 KB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.en.vtt	4.4 KB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.pt-BR.vtt	4.5 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.zh-CN.vtt	5.5 KB
index.html	5.7 KB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.zh-CN.vtt	5.8 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.pt-BR.vtt	6.0 KB
10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.zh-CN.vtt	6.1 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.en.vtt	6.4 KB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.pt-BR.vtt	6.6 KB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.en.vtt	6.7 KB
09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.zh-CN.vtt	6.9 KB
10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.pt-BR.vtt	7.1 KB
10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.en.vtt	7.2 KB
20. Quiz Silhouette Coefficient .html	7.6 KB
06. GMM in 2D.html	7.6 KB
01. Intro.html	7.6 KB
16. Cluster Validation.html	7.6 KB
13. GMM Implementation.html	7.6 KB
12. Quiz Expectation Maximization.html	7.6 KB
04. GMM Clustering in One Dimension.html	7.7 KB
15. Cluster Analysis Process.html	7.7 KB
05. Gaussian Distribution in 2D.html	7.7 KB
03. Gaussian Distribution in One Dimension.html	7.7 KB
11. Visual Example of EM Progress.html	7.7 KB
10. Expectation Maximization Part 2.html	7.7 KB
09. Expectation Maximization Part 1.html	7.7 KB
02. Gaussian Mixture Model (GMM) Clustering.html	7.7 KB
21. GMM Cluster Validation Lab.html	7.8 KB
22. GMM Cluster Validation Lab Solution.html	7.9 KB
08. Overview of The Expectation Maximization (EM) Algorithm.html	7.9 KB
17. External Validation Indices.html	7.9 KB
09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.en.vtt	8.0 KB
19. Internal Validation Indices.html	8.0 KB
09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.pt-BR.vtt	8.1 KB
18. Quiz Adjusted Rand Index.html	8.1 KB
14. GMM Examples Applications.html	8.6 KB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.zh-CN.vtt	9.3 KB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.pt-BR.vtt	9.9 KB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.en.vtt	10.5 KB
07. Quiz Gaussian Mixtures.html	10.6 KB
13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.mp4	3.1 MB
02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.mp4	4.5 MB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.mp4	6.1 MB
06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.mp4	6.3 MB
08. MLND - Unsupervised Learning - L3 08 Overview Of The Expectation Maximization Algorithm MAIN V1 V1-XdQfFnnj5Xo.mp4	6.7 MB
05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.mp4	7.3 MB
01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.mp4	8.8 MB
03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.mp4	8.8 MB
04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.mp4	10.8 MB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.mp4	12.3 MB
11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.mp4	20.7 MB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.mp4	24.3 MB
10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.mp4	27.6 MB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.mp4	33.2 MB
09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.mp4	34.2 MB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.mp4	42.7 MB
/Part 10-Module 01-Lesson 06_Undoing Changes/
05. Undoing Changes--_PPVk2UZMU.zh-CN.vtt	0.6 KB
05. Undoing Changes--_PPVk2UZMU.pt-BR.vtt	0.6 KB
05. Undoing Changes--_PPVk2UZMU.en.vtt	0.7 KB
06. Course Outro-twn_cheqoK8.pt-BR.vtt	0.9 KB
05. Undoing Changes--_PPVk2UZMU.ar.vtt	0.9 KB
06. Course Outro-twn_cheqoK8.zh-CN.vtt	0.9 KB
06. Course Outro-twn_cheqoK8.en.vtt	1.0 KB
06. Course Outro-twn_cheqoK8.ar.vtt	1.3 KB
01. Undoing Changes - Intro-Kfi7l41wUVc.pt-BR.vtt	1.8 KB
01. Undoing Changes - Intro-Kfi7l41wUVc.zh-CN.vtt	1.8 KB
01. Undoing Changes - Intro-Kfi7l41wUVc.en.vtt	1.9 KB
01. Undoing Changes - Intro-Kfi7l41wUVc.ar.vtt	2.5 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.zh-CN.vtt	2.5 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.pt-BR.vtt	2.7 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.en.vtt	2.9 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.ar.vtt	3.7 KB
index.html	3.9 KB
05. Lesson Outro.html	5.3 KB
01. Intro.html	5.4 KB
06. Course Outro.html	5.9 KB
02. Modifying The Last Commit.html	7.0 KB
03. Reverting A Commit.html	8.6 KB
04. Resetting Commits.html	23.7 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.mp4	2.2 MB
05. Undoing Changes--_PPVk2UZMU.mp4	2.7 MB
06. Course Outro-twn_cheqoK8.mp4	2.8 MB
01. Undoing Changes - Intro-Kfi7l41wUVc.mp4	6.6 MB
/Part 20-Module 01-Lesson 03_Convolutional Neural Networks/
01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt	0.6 KB
01. Introducing Alexis-38ExGpdyvJI.zh-CN.vtt	0.6 KB
01. Introducing Alexis-38ExGpdyvJI.en.vtt	0.7 KB
07. When do MLPs (not) work well-deMeuLdZN3Q.zh-CN.vtt	3.2 KB
23. Visualizing CNNs-mnqS_EhEZVg.zh-CN.vtt	3.4 KB
04. MLPs For Image Classification-TIFStebu530.zh-CN.vtt	3.5 KB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.zh-CN.vtt	3.6 KB
07. When do MLPs (not) work well-deMeuLdZN3Q.en.vtt	3.7 KB
12. Stride and Padding-0r9o8hprDXQ.zh-CN.vtt	3.8 KB
04. MLPs For Image Classification-TIFStebu530.en.vtt	3.9 KB
23. Visualizing CNNs-mnqS_EhEZVg.pt-BR.vtt	3.9 KB
07. When do MLPs (not) work well-deMeuLdZN3Q.pt-BR.vtt	3.9 KB
23. Visualizing CNNs-mnqS_EhEZVg.en.vtt	4.0 KB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.en.vtt	4.0 KB
04. MLPs For Image Classification-TIFStebu530.pt-BR.vtt	4.2 KB
05. Categorical Cross-Entropy-3sDYifgjFck.zh-CN.vtt	4.3 KB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.pt-BR.vtt	4.4 KB
12. Stride and Padding-0r9o8hprDXQ.en.vtt	4.5 KB
12. Stride and Padding-0r9o8hprDXQ.pt-BR.vtt	4.7 KB
15. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt	4.7 KB
02. Applications of CNNs-HrYNL_1SV2Y.zh-CN.vtt	4.8 KB
06. Model Validation in Keras-002jNXSM6CU.zh-CN.vtt	4.9 KB
18. CNNs in Keras Practical Example-faFvmGDwXX0.zh-CN.vtt	4.9 KB
05. Categorical Cross-Entropy-3sDYifgjFck.en.vtt	4.9 KB
03. How Computers Interpret Images-V4f6p6uRhu8.zh-CN.vtt	5.0 KB
05. Categorical Cross-Entropy-3sDYifgjFck.pt-BR.vtt	5.2 KB
02. Applications of CNNs-HrYNL_1SV2Y.en.vtt	5.5 KB
25. Transfer Learning-LHG5FltaR6I.zh-CN.vtt	5.5 KB
18. CNNs in Keras Practical Example-faFvmGDwXX0.en.vtt	5.5 KB
15. Pooling Layers-OkkIZNs7Cyc.en.vtt	5.5 KB
06. Model Validation in Keras-002jNXSM6CU.en.vtt	5.6 KB
03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt	5.7 KB
02. Applications of CNNs-HrYNL_1SV2Y.pt-BR.vtt	5.8 KB
26. Transfer Learning in Keras-HsIAznMM1LA.zh-CN.vtt	5.8 KB
index.html	5.9 KB
15. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt	5.9 KB
03. How Computers Interpret Images-V4f6p6uRhu8.pt-BR.vtt	6.1 KB
25. Transfer Learning-LHG5FltaR6I.en.vtt	6.1 KB
06. Model Validation in Keras-002jNXSM6CU.pt-BR.vtt	6.2 KB
10. Convolutional Layers-h5R_JvdUrUI.zh-CN.vtt	6.2 KB
26. Transfer Learning in Keras-HsIAznMM1LA.en.vtt	6.3 KB
18. CNNs in Keras Practical Example-faFvmGDwXX0.pt-BR.vtt	6.3 KB
25. Transfer Learning-LHG5FltaR6I.pt-BR.vtt	6.7 KB
26. Transfer Learning in Keras-HsIAznMM1LA.pt-BR.vtt	6.9 KB
20. Image Augmentation in Keras-odStujZq3GY.zh-CN.vtt	7.2 KB
10. Convolutional Layers-h5R_JvdUrUI.en.vtt	7.4 KB
10. Convolutional Layers-h5R_JvdUrUI.pt-BR.vtt	7.7 KB
12. Stride and Padding.html	7.8 KB
09. Local Connectivity.html	7.8 KB
09. Local Connectivity-z9wiDg0w-Dc.zh-CN.vtt	7.8 KB
10. Convolutional Layers (Part 1).html	7.8 KB
01. Introducing Alexis.html	8.0 KB
15. Pooling Layers.html	8.0 KB
07. When do MLPs (not) work well .html	8.1 KB
20. Image Augmentation in Keras-odStujZq3GY.en.vtt	8.4 KB
04. MLPs for Image Classification.html	8.5 KB
06. Model Validation in Keras.html	8.5 KB
11. Convolutional Layers (Part 2).html	8.6 KB
19. Mini project CNNs in Keras.html	8.7 KB
20. Image Augmentation in Keras-odStujZq3GY.pt-BR.vtt	8.7 KB
21. Mini project Image Augmentation in Keras.html	8.8 KB
11. Convolutional Layers-RnM1D-XI--8.zh-CN.vtt	8.9 KB
22. Groundbreaking CNN Architectures.html	9.0 KB
09. Local Connectivity-z9wiDg0w-Dc.en.vtt	9.2 KB
03. How Computers Interpret Images.html	9.2 KB
26. Transfer Learning in Keras.html	9.3 KB
05. Categorical Cross-Entropy.html	9.3 KB
09. Local Connectivity-z9wiDg0w-Dc.pt-BR.vtt	9.5 KB
18. CNNs in Keras Practical Example.html	9.6 KB
20. Image Augmentation in Keras.html	9.6 KB
17. CNNs For Image Classification-l9vg_1YUlzg.zh-CN.vtt	10.0 KB
23. Visualizing CNNs (Part 1).html	10.0 KB
11. Convolutional Layers-RnM1D-XI--8.en.vtt	10.2 KB
17. CNNs for Image Classification.html	10.9 KB
16. Max Pooling Layers in Keras.html	11.0 KB
08. Mini project Training an MLP on MNIST.html	11.2 KB
11. Convolutional Layers-RnM1D-XI--8.pt-BR.vtt	11.3 KB
17. CNNs For Image Classification-l9vg_1YUlzg.en.vtt	11.6 KB
13. Convolutional Layers in Keras.html	12.2 KB
17. CNNs For Image Classification-l9vg_1YUlzg.pt-BR.vtt	12.5 KB
02. Applications of CNNs.html	13.2 KB
24. Visualizing CNNs (Part 2).html	14.7 KB
14. Quiz Dimensionality.html	16.7 KB
25. Transfer Learning.html	19.3 KB
01. Introducing Alexis-38ExGpdyvJI.mp4	2.2 MB
04. MLPs For Image Classification-TIFStebu530.mp4	4.6 MB
06. Model Validation in Keras-002jNXSM6CU.mp4	5.5 MB
05. Categorical Cross-Entropy-3sDYifgjFck.mp4	5.7 MB
07. When do MLPs (not) work well-deMeuLdZN3Q.mp4	5.8 MB
15. Pooling Layers-OkkIZNs7Cyc.mp4	6.1 MB
03. How Computers Interpret Images-V4f6p6uRhu8.mp4	6.5 MB
12. Stride and Padding-0r9o8hprDXQ.mp4	8.4 MB
10. Convolutional Layers-h5R_JvdUrUI.mp4	8.4 MB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.mp4	8.5 MB
18. CNNs in Keras Practical Example-faFvmGDwXX0.mp4	9.1 MB
23. Visualizing CNNs-mnqS_EhEZVg.mp4	9.6 MB
20. Image Augmentation in Keras-odStujZq3GY.mp4	10.8 MB
09. Local Connectivity-z9wiDg0w-Dc.mp4	12.6 MB
26. Transfer Learning in Keras-HsIAznMM1LA.mp4	13.6 MB
25. Transfer Learning-LHG5FltaR6I.mp4	14.0 MB
11. Convolutional Layers-RnM1D-XI--8.mp4	17.9 MB
02. Applications of CNNs-HrYNL_1SV2Y.mp4	18.6 MB
17. CNNs For Image Classification-l9vg_1YUlzg.mp4	19.0 MB
/Part 01-Module 03-Lesson 01_Setting Up Your Computer/
20. L2 02 Outro REPLACEMENT-W-6Se0G_FVE.en.vtt	0.6 KB
02. Python Installation-2_P05aYChqQ.zh-CN.vtt	1.7 KB
01. Introduction-Yg0gBpTzkMo.en.vtt	1.7 KB
02. Python Installation-2_P05aYChqQ.en.vtt	1.8 KB
01. Introduction-Yg0gBpTzkMo.pt-BR.vtt	1.9 KB
02. Python Installation-2_P05aYChqQ.pt-BR.vtt	2.2 KB
08. Running A Python Script-vMKemwCderg.zh-CN.vtt	2.2 KB
08. Running A Python Script-vMKemwCderg.en.vtt	2.3 KB
02. Python Installation-2_P05aYChqQ.ar.vtt	2.3 KB
10. Jupyter-qiYDWFLyXvg.pt-BR.vtt	2.5 KB
08. Running A Python Script-vMKemwCderg.pt-BR.vtt	2.6 KB
10. Jupyter-qiYDWFLyXvg.zh-CN.vtt	2.7 KB
10. Jupyter-qiYDWFLyXvg.en.vtt	2.8 KB
08. Running A Python Script-vMKemwCderg.ar.vtt	3.1 KB
10. Jupyter-qiYDWFLyXvg.ar.vtt	3.5 KB
09. Programming Environment Setup-EKxDnCK0NAk.zh-CN.vtt	4.0 KB
09. Programming Environment Setup-EKxDnCK0NAk.en.vtt	4.2 KB
09. Programming Environment Setup-EKxDnCK0NAk.pt-BR.vtt	5.0 KB
index.html	5.1 KB
09. Programming Environment Setup-EKxDnCK0NAk.ar.vtt	6.3 KB
20. Outro.html	6.6 KB
01. Intro.html	6.8 KB
11. Installing Jupyter Notebook.html	6.9 KB
16. Keyboard shortcuts.html	7.0 KB
15. Code cells.html	7.1 KB
18. Converting notebooks.html	8.1 KB
08. Running a Python Script.html	8.4 KB
07. On Python versions at Udacity.html	8.4 KB
09. Programming Environment Setup.html	8.8 KB
19. Creating a slideshow.html	9.0 KB
05. Installing Anaconda.html	9.1 KB
06. Managing packages.html	9.9 KB
02. Python Installation.html	10.0 KB
13. Notebook interface.html	10.5 KB
14. Markdown cells.html	10.7 KB
17. Magic keywords.html	11.1 KB
12. Launching the notebook server.html	11.9 KB
04. What is Anaconda.html	12.1 KB
10. What are Jupyter notebooks.html	13.5 KB
03. [For Windows] Configuring Git Bash to Run Python.html	13.6 KB
20. L2 02 Outro REPLACEMENT-W-6Se0G_FVE.mp4	1.9 MB
08. Running A Python Script-vMKemwCderg.mp4	2.7 MB
01. Introduction-Yg0gBpTzkMo.mp4	6.5 MB
02. Python Installation-2_P05aYChqQ.mp4	7.0 MB
10. Jupyter-qiYDWFLyXvg.mp4	7.5 MB
09. Programming Environment Setup-EKxDnCK0NAk.mp4	7.8 MB
/Part 12-Module 01-Lesson 01_Descriptive Statistics - Part I/
17. Measures of Center - The Mode-NE81NZgECqg.zh-CN.vtt	0.6 KB
17. Measures of Center - The Mode-NE81NZgECqg.pt-BR.vtt	0.6 KB
17. Measures of Center - The Mode-NE81NZgECqg.en.vtt	0.7 KB
09. Data Types Summary-T-KrQoAJUpI.zh-CN.vtt	0.8 KB
09. Data Types Summary-T-KrQoAJUpI.en.vtt	0.8 KB
17. Measures of Center - The Mode-NE81NZgECqg.ar.vtt	0.9 KB
01. Instructors Introduction-lIvm8urf4GE.zh-CN.vtt	0.9 KB
03. What Is Coming Up-oDJsnQcCPr4.zh-CN.vtt	0.9 KB
09. Data Types Summary-T-KrQoAJUpI.pt-BR.vtt	0.9 KB
07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.zh-CN.vtt	0.9 KB
01. Instructors Introduction-lIvm8urf4GE.pt-BR.vtt	1.0 KB
03. What Is Coming Up-oDJsnQcCPr4.en.vtt	1.0 KB
07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.en.vtt	1.0 KB
01. Instructors Introduction-lIvm8urf4GE.en.vtt	1.0 KB
03. What Is Coming Up-oDJsnQcCPr4.pt-BR.vtt	1.1 KB
09. Data Types Summary-T-KrQoAJUpI.ar.vtt	1.2 KB
07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.pt-BR.vtt	1.2 KB
04. What is Data-ldTDAjrVsA8.zh-CN.vtt	1.2 KB
01. Instructors Introduction-lIvm8urf4GE.ar.vtt	1.2 KB
07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.ar.vtt	1.3 KB
04. What is Data-ldTDAjrVsA8.en.vtt	1.3 KB
03. What Is Coming Up-oDJsnQcCPr4.ar.vtt	1.3 KB
08. Continuous vs. Discrete Data-BzgZebZD9kk.zh-CN.vtt	1.4 KB
19. What is Notation-MaHV5cKfcmE.zh-CN.vtt	1.5 KB
24. There Must Be A Better Way-oBp8YX2AgJw.zh-CN.vtt	1.5 KB
04. What is Data-ldTDAjrVsA8.pt-BR.vtt	1.5 KB
19. What is Notation-MaHV5cKfcmE.en.vtt	1.5 KB
08. Continuous vs. Discrete Data-BzgZebZD9kk.en.vtt	1.6 KB
24. There Must Be A Better Way-oBp8YX2AgJw.pt-BR.vtt	1.6 KB
24. There Must Be A Better Way-oBp8YX2AgJw.en.vtt	1.7 KB
08. Continuous vs. Discrete Data-BzgZebZD9kk.pt-BR.vtt	1.7 KB
19. What is Notation-MaHV5cKfcmE.pt-BR.vtt	1.8 KB
05. Data Types-gT6EYlsLZkE.zh-CN.vtt	1.8 KB
26. Notation for the Mean-3EF15AoRxyM.zh-CN.vtt	1.9 KB
05. Data Types-gT6EYlsLZkE.en.vtt	1.9 KB
04. What is Data-ldTDAjrVsA8.ar.vtt	2.0 KB
15. The Median-WlT3eeW0rb0.zh-CN.vtt	2.0 KB
05. Data Types-gT6EYlsLZkE.pt-BR.vtt	2.0 KB
19. What is Notation-MaHV5cKfcmE.ar.vtt	2.0 KB
26. Notation for the Mean-3EF15AoRxyM.en.vtt	2.1 KB
12. Introduction to Summary Statistics-PCZmHCrcMcw.zh-CN.vtt	2.1 KB
13. Calculating the Mean-1nzZxmJ8xvU.zh-CN.vtt	2.2 KB
08. Continuous vs. Discrete Data-BzgZebZD9kk.ar.vtt	2.3 KB
24. There Must Be A Better Way-oBp8YX2AgJw.ar.vtt	2.3 KB
26. Notation for the Mean-3EF15AoRxyM.pt-BR.vtt	2.3 KB
12. Introduction to Summary Statistics-PCZmHCrcMcw.en.vtt	2.4 KB
13. Calculating the Mean-1nzZxmJ8xvU.en.vtt	2.4 KB
22. Random Observed Values-KFIt2OC3wCI.zh-CN.vtt	2.4 KB
15. The Median-WlT3eeW0rb0.en.vtt	2.5 KB
25. Aggregations-ADx1x2ljFB4.zh-CN.vtt	2.6 KB
12. Introduction to Summary Statistics-PCZmHCrcMcw.pt-BR.vtt	2.6 KB
13. Calculating the Mean-1nzZxmJ8xvU.pt-BR.vtt	2.6 KB
05. Data Types-gT6EYlsLZkE.ar.vtt	2.7 KB
15. The Median-WlT3eeW0rb0.pt-BR.vtt	2.7 KB
22. Random Observed Values-KFIt2OC3wCI.en.vtt	2.8 KB
25. Aggregations-ADx1x2ljFB4.pt-BR.vtt	2.9 KB
26. Notation for the Mean-3EF15AoRxyM.ar.vtt	2.9 KB
25. Aggregations-ADx1x2ljFB4.en.vtt	3.0 KB
22. Random Observed Values-KFIt2OC3wCI.pt-BR.vtt	3.0 KB
13. Calculating the Mean-1nzZxmJ8xvU.ar.vtt	3.2 KB
12. Introduction to Summary Statistics-PCZmHCrcMcw.ar.vtt	3.2 KB
15. The Median-WlT3eeW0rb0.ar.vtt	3.3 KB
25. Aggregations-ADx1x2ljFB4.ar.vtt	3.6 KB
22. Random Observed Values-KFIt2OC3wCI.ar.vtt	3.6 KB
20. Notation for Random Variables-8NxTW1u4s-Y.zh-CN.vtt	4.3 KB
20. Notation for Random Variables-8NxTW1u4s-Y.en.vtt	4.8 KB
20. Notation for Random Variables-8NxTW1u4s-Y.pt-BR.vtt	5.2 KB
20. Notation for Random Variables-8NxTW1u4s-Y.ar.vtt	6.3 KB
index.html	6.4 KB
04. Video What is Data Why is it important.html	8.4 KB
09. Video Data Types Summary.html	8.4 KB
01. Introduce Instructors.html	8.5 KB
12. Video Introduction to Summary Statistics.html	8.6 KB
03. Video Welcome!.html	8.6 KB
02. Text Optional Lessons Note.html	8.7 KB
05. Video Data Types (Quantitative vs. Categorical).html	8.9 KB
07. Video Data Types (Ordinal vs. Nominal).html	9.2 KB
08. Video Data Types (Continuous vs. Discrete).html	9.3 KB
24. Video Better Way.html	9.4 KB
17. Video Measures of Center (Mode).html	9.4 KB
15. Video Measures of Center (Median).html	9.8 KB
11. Data Types (Continuous vs. Discrete).html	9.9 KB
26. Video Notation for the Mean.html	9.9 KB
13. Video Measures of Center (Mean).html	10.0 KB
16. Measures of Center (Median).html	10.2 KB
21. Quiz Variable Types.html	10.6 KB
19. Video What is Notation.html	10.7 KB
29. Text Summary on Notation.html	10.9 KB
14. Measures of Center (Mean).html	10.9 KB
20. Video Random Variables.html	11.4 KB
22. Video Capital vs. Lower.html	11.6 KB
27. Quiz Summation.html	11.7 KB
25. Video Summation.html	11.8 KB
23. Quiz Introduction to Notation.html	12.0 KB
28. Quiz Notation for the Mean.html	14.3 KB
10. Text + Quiz Data Types (Ordinal vs. Nominal).html	15.1 KB
18. Measures of Center (Mode).html	15.5 KB
06. Quiz Data Types (Quantitative vs. Categorical).html	15.9 KB
17. Measures of Center - The Mode-NE81NZgECqg.mp4	977.5 KB
07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.mp4	1.8 MB
05. Data Types-gT6EYlsLZkE.mp4	2.2 MB
03. What Is Coming Up-oDJsnQcCPr4.mp4	2.3 MB
09. Data Types Summary-T-KrQoAJUpI.mp4	2.3 MB
04. What is Data-ldTDAjrVsA8.mp4	3.0 MB
01. Instructors Introduction-lIvm8urf4GE.mp4	3.0 MB
26. Notation for the Mean-3EF15AoRxyM.mp4	3.2 MB
24. There Must Be A Better Way-oBp8YX2AgJw.mp4	3.4 MB
08. Continuous vs. Discrete Data-BzgZebZD9kk.mp4	4.0 MB
15. The Median-WlT3eeW0rb0.mp4	4.0 MB
12. Introduction to Summary Statistics-PCZmHCrcMcw.mp4	4.2 MB
22. Random Observed Values-KFIt2OC3wCI.mp4	4.7 MB
19. What is Notation-MaHV5cKfcmE.mp4	5.1 MB
25. Aggregations-ADx1x2ljFB4.mp4	5.4 MB
13. Calculating the Mean-1nzZxmJ8xvU.mp4	5.7 MB
20. Notation for Random Variables-8NxTW1u4s-Y.mp4	5.9 MB
/Part 10-Module 01-Lesson 07_Working With Remotes/
04. L1 - Git Push In Theory-21TvMEtMRys.zh-CN.vtt	0.6 KB
04. L1 - Git Push In Theory-21TvMEtMRys.en.vtt	0.7 KB
04. L1 - Git Push In Theory-21TvMEtMRys.pt-BR.vtt	0.7 KB
07. Lesson Wrap Up-6Koa4nAu-04.zh-CN.vtt	0.7 KB
07. Lesson Wrap Up-6Koa4nAu-04.en.vtt	0.7 KB
07. Lesson Wrap Up-6Koa4nAu-04.pt-BR.vtt	0.8 KB
06. Pull Vs Fetch-kxXdk2HcOBo.zh-CN.vtt	0.9 KB
06. Pull Vs Fetch-kxXdk2HcOBo.en.vtt	0.9 KB
04. L1 - Git Push In Theory-21TvMEtMRys.ar.vtt	0.9 KB
06. Pull Vs Fetch-kxXdk2HcOBo.pt-BR.vtt	0.9 KB
07. Lesson Wrap Up-6Koa4nAu-04.ar.vtt	0.9 KB
02. L1 - Sending Branches To Remote-414f0ukhOTY.pt-BR.vtt	1.0 KB
02. L1 - Sending Branches To Remote-414f0ukhOTY.zh-CN.vtt	1.0 KB
05. L1 - Git Pull In Theory-MjNU2LTDVAA.zh-CN.vtt	1.0 KB
05. L1 - Git Pull In Theory-MjNU2LTDVAA.pt-BR.vtt	1.0 KB
05. L1 - Git Pull In Theory-MjNU2LTDVAA.en.vtt	1.0 KB
02. L1 - Sending Branches To Remote-414f0ukhOTY.en.vtt	1.0 KB
06. Pull Vs Fetch-kxXdk2HcOBo.ar.vtt	1.3 KB
02. L1 - Sending Branches To Remote-414f0ukhOTY.ar.vtt	1.3 KB
06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.zh-CN.vtt	1.5 KB
06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.pt-BR.vtt	1.5 KB
06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.en.vtt	1.5 KB
05. L1 - Git Pull In Theory-MjNU2LTDVAA.ar.vtt	1.6 KB
02. L1 - Remote Repos Intro-AnSlYftJnwA.zh-CN.vtt	2.0 KB
03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.pt-BR.vtt	2.1 KB
06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.ar.vtt	2.1 KB
03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.zh-CN.vtt	2.2 KB
03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.en.vtt	2.3 KB
02. L1 - Remote Repos Intro-AnSlYftJnwA.pt-BR.vtt	2.3 KB
02. L1 - Remote Repos Intro-AnSlYftJnwA.en.vtt	2.3 KB
01. Intro-SBUOhyXcR1Q.zh-CN.vtt	2.5 KB
05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.zh-CN.vtt	2.6 KB
05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.pt-BR.vtt	2.7 KB
01. Intro-SBUOhyXcR1Q.en.vtt	2.9 KB
01. Intro-SBUOhyXcR1Q.pt-BR.vtt	2.9 KB
05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.en.vtt	2.9 KB
03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.ar.vtt	3.0 KB
02. L1 - Remote Repos Intro-AnSlYftJnwA.ar.vtt	3.1 KB
05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.ar.vtt	3.7 KB
01. Intro-SBUOhyXcR1Q.ar.vtt	3.9 KB
index.html	4.0 KB
07. Lesson Wrap Up.html	5.5 KB
01. Intro.html	6.5 KB
06. Pull vs Fetch.html	8.7 KB
02. Remote Repositories.html	12.0 KB
04. Push Changes To A Remote.html	14.6 KB
05. Pulling Changes From A Remote.html	14.8 KB
03. Add A Remote Repository.html	32.8 KB
04. L1 - Git Push In Theory-21TvMEtMRys.mp4	671.9 KB
06. Pull Vs Fetch-kxXdk2HcOBo.mp4	806.8 KB
02. L1 - Sending Branches To Remote-414f0ukhOTY.mp4	846.5 KB
05. L1 - Git Pull In Theory-MjNU2LTDVAA.mp4	920.1 KB
06. L1 - Fetch Merge And Push-jwyQUfE1Eqw.mp4	1.4 MB
03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.mp4	2.7 MB
07. Lesson Wrap Up-6Koa4nAu-04.mp4	3.0 MB
05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.mp4	3.4 MB
02. L1 - Remote Repos Intro-AnSlYftJnwA.mp4	4.3 MB
01. Intro-SBUOhyXcR1Q.mp4	8.7 MB
/Part 07-Module 01-Lesson 07_[Advanced] SQL Advanced JOINs Performance Tuning/
11. UNION Motivation-0eRr2K8lo-I.zh-CN.vtt	0.6 KB
19. Congratulations!-_FPpbuuW-1o.pt-BR.vtt	0.6 KB
11. UNION 2-so5zydnbYEg.zh-CN.vtt	0.6 KB
11. UNION Motivation-0eRr2K8lo-I.en.vtt	0.7 KB
11. UNION Motivation-0eRr2K8lo-I.pt-BR.vtt	0.7 KB
11. UNION 2-so5zydnbYEg.en.vtt	0.7 KB
11. UNION 2-so5zydnbYEg.pt-BR.vtt	0.7 KB
19. Congratulations!-_FPpbuuW-1o.zh-CN.vtt	0.7 KB
05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.pt-BR.vtt	0.8 KB
05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.zh-CN.vtt	0.8 KB
19. Congratulations!-_FPpbuuW-1o.en.vtt	0.8 KB
01. Introduction to Advanced SQL-i0VaVPIKUks.pt-BR.vtt	0.8 KB
05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.en.vtt	0.8 KB
14. Performance Tuning Motivation-aY4_uYWEuoE.zh-CN.vtt	0.9 KB
11. UNION 3-oVGmi4zBOT8.zh-CN.vtt	0.9 KB
11. UNION Motivation-0eRr2K8lo-I.ar.vtt	0.9 KB
11. UNION 3-oVGmi4zBOT8.pt-BR.vtt	0.9 KB
11. UNION 3-oVGmi4zBOT8.en.vtt	0.9 KB
01. Introduction to Advanced SQL-i0VaVPIKUks.en.vtt	0.9 KB
11. UNION 2-so5zydnbYEg.ar.vtt	0.9 KB
01. Introduction to Advanced SQL-i0VaVPIKUks.zh-CN.vtt	0.9 KB
14. Performance Tuning Motivation-aY4_uYWEuoE.pt-BR.vtt	1.0 KB
14. Performance Tuning Motivation-aY4_uYWEuoE.en.vtt	1.0 KB
19. Congratulations!-_FPpbuuW-1o.ar.vtt	1.0 KB
05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.ar.vtt	1.1 KB
01. Introduction to Advanced SQL-i0VaVPIKUks.ar.vtt	1.2 KB
14. Performance Tuning Motivation-aY4_uYWEuoE.ar.vtt	1.3 KB
11. UNION 3-oVGmi4zBOT8.ar.vtt	1.3 KB
17. Performance Tuning 3-hIAE8W6x5O8.zh-CN.vtt	1.5 KB
17. Performance Tuning 3-hIAE8W6x5O8.pt-BR.vtt	1.5 KB
11. UNION 1-APRpwqFpGwI.zh-CN.vtt	1.5 KB
17. Performance Tuning 3-hIAE8W6x5O8.en.vtt	1.6 KB
11. UNION 1-APRpwqFpGwI.pt-BR.vtt	1.6 KB
11. UNION 1-APRpwqFpGwI.en.vtt	1.7 KB
16. Performance Tuning 2-arMtEhSoq7E.zh-CN.vtt	1.8 KB
05. JOINs with Comparison Operators-48AgxPygRuQ.zh-CN.vtt	1.9 KB
16. Performance Tuning 2-arMtEhSoq7E.pt-BR.vtt	2.0 KB
16. Performance Tuning 2-arMtEhSoq7E.en.vtt	2.0 KB
08. Self JOINs-tw_VzEGBOvI.zh-CN.vtt	2.1 KB
17. Performance Tuning 3-hIAE8W6x5O8.ar.vtt	2.2 KB
05. JOINs with Comparison Operators-48AgxPygRuQ.en.vtt	2.2 KB
05. JOINs with Comparison Operators-48AgxPygRuQ.pt-BR.vtt	2.2 KB
11. UNION 1-APRpwqFpGwI.ar.vtt	2.3 KB
08. Self JOINs-tw_VzEGBOvI.pt-BR.vtt	2.3 KB
08. Self JOINs-tw_VzEGBOvI.en.vtt	2.3 KB
16. Performance Tuning 2-arMtEhSoq7E.ar.vtt	2.7 KB
15. More on Performance Tuning-ZK1FvNH10Ag.zh-CN.vtt	2.7 KB
15. More on Performance Tuning-ZK1FvNH10Ag.pt-BR.vtt	2.9 KB
15. Performance Tuning 1-5mVfYZ_bfRo.zh-CN.vtt	2.9 KB
08. Self JOINs-tw_VzEGBOvI.ar.vtt	2.9 KB
18. Joining Subqueries-rxy-fE5GeLY.zh-CN.vtt	3.0 KB
05. JOINs with Comparison Operators-48AgxPygRuQ.ar.vtt	3.1 KB
15. More on Performance Tuning-ZK1FvNH10Ag.en.vtt	3.1 KB
15. Performance Tuning 1-5mVfYZ_bfRo.en.vtt	3.2 KB
15. Performance Tuning 1-5mVfYZ_bfRo.pt-BR.vtt	3.3 KB
18. Joining Subqueries-rxy-fE5GeLY.pt-BR.vtt	3.3 KB
18. Joining Subqueries-rxy-fE5GeLY.en.vtt	3.3 KB
15. More on Performance Tuning-ZK1FvNH10Ag.ar.vtt	4.2 KB
18. Joining Subqueries-rxy-fE5GeLY.ar.vtt	4.7 KB
15. Performance Tuning 1-5mVfYZ_bfRo.ar.vtt	4.8 KB
index.html	5.3 KB
19. Video SQL Completion Congratulations.html	7.1 KB
17. Video Performance Tuning 3.html	7.1 KB
16. Video Performance Tuning 2.html	7.1 KB
01. Video Introduction to Advanced SQL.html	7.2 KB
14. Video Performance Tuning Motivation.html	7.2 KB
08. Video Self JOINs.html	7.4 KB
13. Solutions UNION.html	8.0 KB
10. Solutions Self JOINs.html	8.1 KB
07. Solutions JOINs with Comparison Operators.html	8.2 KB
04. Solutions FULL OUTER JOIN.html	8.3 KB
05. Video JOINs with Comparison Operators.html	8.7 KB
09. Quiz Self JOINs.html	8.8 KB
18. Video JOINing Subqueries.html	8.9 KB
03. Quiz FULL OUTER JOIN.html	9.6 KB
06. Quiz JOINs with Comparison Operators.html	10.0 KB
11. Video UNION.html	10.1 KB
15. Video + Quiz Performance Tuning 1.html	10.8 KB
02. Text + Images FULL OUTER JOIN.html	11.3 KB
12. Quizzes UNION.html	12.8 KB
11. UNION 2-so5zydnbYEg.mp4	845.4 KB
11. UNION 1-APRpwqFpGwI.mp4	1.4 MB
17. Performance Tuning 3-hIAE8W6x5O8.mp4	1.5 MB
11. UNION 3-oVGmi4zBOT8.mp4	1.9 MB
08. Self JOINs-tw_VzEGBOvI.mp4	2.7 MB
11. UNION Motivation-0eRr2K8lo-I.mp4	2.7 MB
19. Congratulations!-_FPpbuuW-1o.mp4	3.2 MB
16. Performance Tuning 2-arMtEhSoq7E.mp4	3.3 MB
01. Introduction to Advanced SQL-i0VaVPIKUks.mp4	3.4 MB
14. Performance Tuning Motivation-aY4_uYWEuoE.mp4	3.8 MB
05. JOINs with Comparison Operators Motivation-ClzbfQyhNro.mp4	3.9 MB
05. JOINs with Comparison Operators-48AgxPygRuQ.mp4	4.4 MB
15. Performance Tuning 1-5mVfYZ_bfRo.mp4	4.5 MB
18. Joining Subqueries-rxy-fE5GeLY.mp4	9.4 MB
15. More on Performance Tuning-ZK1FvNH10Ag.mp4	12.4 MB
/Part 10-Module 01-Lesson 05_Tagging, Branching, and Merging/
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.pt-BR.vtt	0.6 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.zh-CN.vtt	0.6 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.en.vtt	0.7 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.ar.vtt	0.8 KB
07. Outro-ot4fPX1jzOI.pt-BR.vtt	1.1 KB
07. Outro-ot4fPX1jzOI.zh-CN.vtt	1.1 KB
07. Outro-ot4fPX1jzOI.en.vtt	1.2 KB
07. Outro-ot4fPX1jzOI.ar.vtt	1.5 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.pt-BR.vtt	1.6 KB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.pt-BR.vtt	1.6 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.zh-CN.vtt	1.6 KB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.zh-CN.vtt	1.7 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.en.vtt	1.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.pt-BR.vtt	1.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.zh-CN.vtt	1.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.en.vtt	1.8 KB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.en.vtt	1.9 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.ar.vtt	2.2 KB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.ar.vtt	2.4 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.ar.vtt	2.6 KB
index.html	3.9 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.zh-CN.vtt	4.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.pt-BR.vtt	4.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.en.vtt	5.0 KB
07. Outro.html	5.3 KB
01. Intro.html	5.5 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.ar.vtt	6.6 KB
05. Merging.html	17.4 KB
02. Tagging.html	18.7 KB
03. Branching.html	19.6 KB
06. Merge Conflicts.html	20.5 KB
04. Branching Effectively.html	28.6 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.mp4	511.5 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 03 Tagging Overview-D4VdXT72ASE.mp4	1.1 MB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.mp4	1.5 MB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 26 Branching Overview-ywcOC6CLG4s.mp4	3.7 MB
07. Outro-ot4fPX1jzOI.mp4	4.0 MB
01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.mp4	6.9 MB
/Part 02-Module 01-Lesson 05_Naive Bayes/
01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt	0.6 KB
01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt	0.7 KB
01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt	0.7 KB
03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.zh-CN.vtt	1.1 KB
03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.pt-BR.vtt	1.2 KB
03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt	1.3 KB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.zh-CN.vtt	1.4 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt	1.5 KB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt	1.6 KB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.pt-BR.vtt	1.6 KB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.zh-CN.vtt	1.7 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.pt-BR.vtt	1.7 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt	1.8 KB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt	2.0 KB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.pt-BR.vtt	2.0 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.zh-CN.vtt	2.3 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt	2.3 KB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt	2.3 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt	2.4 KB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt	2.7 KB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.zh-CN.vtt	2.8 KB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.pt-BR.vtt	2.8 KB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.pt-BR.vtt	3.1 KB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt	3.1 KB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt	3.3 KB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt	3.3 KB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt	3.5 KB
index.html	4.7 KB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt	5.5 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt	5.7 KB
13. Quiz Bayes Rule .html	6.1 KB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt	6.2 KB
16. Outro.html	6.3 KB
01. Intro.html	6.3 KB
05. Bayes Theorem.html	6.4 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.pt-BR.vtt	6.4 KB
02. Guess the Person.html	6.4 KB
03. Known and Inferred.html	6.4 KB
07. Solution False Positives.html	6.4 KB
09. Bayesian Learning 2.html	6.4 KB
12. Naive Bayes Algorithm 2.html	6.5 KB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt	6.6 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt	6.6 KB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.pt-BR.vtt	6.7 KB
04. Guess the Person Now.html	6.7 KB
10. Bayesian Learning 3.html	6.7 KB
15. Spam Classifier - Workspace.html	6.8 KB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt	7.4 KB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt	7.4 KB
14. Building a Spam Classifier.html	7.4 KB
06. Quiz False Positives.html	7.6 KB
11. Naive Bayes Algorithm 1.html	7.8 KB
08. Bayesian Learning 1.html	9.7 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4	1.5 MB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4	1.9 MB
03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4	2.7 MB
01. Naive Bayes Intro V2-vNOiQXghgRY.mp4	3.4 MB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4	5.4 MB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4	5.7 MB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4	6.4 MB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4	7.6 MB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4	8.9 MB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4	9.8 MB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4	15.1 MB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4	22.1 MB
/Part 02-Module 01-Lesson 01_Machine Learning Bird's Eye View/
01. Introduction-LcX-s-ujp7U.en.vtt	0.6 KB
01. Introduction-LcX-s-ujp7U.pt-BR.vtt	0.8 KB
07. Scikit Learn-kxvmG8ZsOVg.en.vtt	1.0 KB
07. Scikit Learn-kxvmG8ZsOVg.pt-BR.vtt	1.2 KB
09. What's Ahead-2Hxy2Jlu8nk.en.vtt	1.2 KB
09. What's Ahead-2Hxy2Jlu8nk.pt-BR.vtt	1.3 KB
05. Types of Machine Learning - Unsupervised Reinforcement-yg4A99NMzAQ.en.vtt	1.3 KB
08. Ethics in ML-fNcTTXR8T08.en.vtt	1.6 KB
05. Types of Machine Learning - Unsupervised Reinforcement-yg4A99NMzAQ.pt-BR.vtt	1.6 KB
04. Types Of Machine Learning - Supervised-Jn3xugBvs2U.en.vtt	1.7 KB
08. Ethics in ML-fNcTTXR8T08.pt-BR.vtt	2.0 KB
04. Types Of Machine Learning - Supervised-Jn3xugBvs2U.pt-BR.vtt	2.0 KB
02. History - Statisticians Perspective-zNNouqLGF9E.en.vtt	2.1 KB
06. Deep Learning And Neural Networks-4rKw3ekE5Wk.en.vtt	2.3 KB
02. History - Statisticians Perspective-zNNouqLGF9E.pt-BR.vtt	2.3 KB
03. A Little More History - A Computer Scientist's Perspective-sVT9nX6HTyU.en.vtt	2.5 KB
06. Deep Learning And Neural Networks-4rKw3ekE5Wk.pt-BR.vtt	2.5 KB
03. A Little More History - A Computer Scientist's Perspective-sVT9nX6HTyU.pt-BR.vtt	2.9 KB
index.html	4.5 KB
07. Scikit Learn.html	5.8 KB
01. Introduction.html	5.8 KB
09. What's Ahead.html	5.8 KB
08. Ethics in Machine Learning.html	5.8 KB
06. Deep Learning.html	5.9 KB
02. History - A Statistician's Perspective.html	5.9 KB
04. Types of Machine Learning - Supervised.html	5.9 KB
03. History - A Computer Scientist's Perspective.html	6.0 KB
05. Types of Machine Learning - Unsupervised Reinforcement.html	6.0 KB
10. Text Recap.html	9.7 KB
05. Types of Machine Learning - Unsupervised Reinforcement-yg4A99NMzAQ.mp4	2.0 MB
01. Introduction-LcX-s-ujp7U.mp4	2.1 MB
07. Scikit Learn-kxvmG8ZsOVg.mp4	2.5 MB
04. Types Of Machine Learning - Supervised-Jn3xugBvs2U.mp4	2.9 MB
03. A Little More History - A Computer Scientist's Perspective-sVT9nX6HTyU.mp4	4.0 MB
09. What's Ahead-2Hxy2Jlu8nk.mp4	4.5 MB
08. Ethics in ML-fNcTTXR8T08.mp4	4.6 MB
02. History - Statisticians Perspective-zNNouqLGF9E.mp4	5.8 MB
06. Deep Learning And Neural Networks-4rKw3ekE5Wk.mp4	6.7 MB
/Part 12-Module 01-Lesson 14_Regression/
01. Regression Introduction-PKqSS0TzXeA.zh-CN.vtt	0.6 KB
21. Recap-DzMi27LI5l4.zh-CN.vtt	0.8 KB
01. Regression Introduction-PKqSS0TzXeA.en.vtt	0.8 KB
01. Regression Introduction-PKqSS0TzXeA.pt-BR.vtt	0.9 KB
21. Recap-DzMi27LI5l4.en.vtt	1.0 KB
21. Recap-DzMi27LI5l4.pt-BR.vtt	1.1 KB
17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.zh-CN.vtt	1.4 KB
08. Correlation Coefficients-rL5Bn8Fi-zE.zh-CN.vtt	1.5 KB
04. Introduction to Linear Regression-RD4zbBvXDnM.zh-CN.vtt	1.6 KB
17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.en.vtt	1.7 KB
02. Introduction to Machine Learning-pLcFPPI1L-0.zh-CN.vtt	1.8 KB
08. Correlation Coefficients-rL5Bn8Fi-zE.en.vtt	1.8 KB
15. Fitting A Regression Line In Python-0CiMDbEUeS4.zh-CN.vtt	1.8 KB
04. Introduction to Linear Regression-RD4zbBvXDnM.en.vtt	1.9 KB
06. Scatter Plots -DvlxZ37O4i8.zh-CN.vtt	1.9 KB
17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.pt-BR.vtt	1.9 KB
08. Correlation Coefficients-rL5Bn8Fi-zE.pt-BR.vtt	2.0 KB
02. Introduction to Machine Learning-pLcFPPI1L-0.en.vtt	2.1 KB
15. Fitting A Regression Line In Python-0CiMDbEUeS4.en.vtt	2.1 KB
15. Fitting A Regression Line In Python-0CiMDbEUeS4.pt-BR.vtt	2.2 KB
04. Introduction to Linear Regression-RD4zbBvXDnM.pt-BR.vtt	2.2 KB
16. How Do We Interpret Results-eLk0XGGMaCE.zh-CN.vtt	2.2 KB
08. Correlation Coefficients-rL5Bn8Fi-zE.ar.vtt	2.2 KB
10. What Defines A Line-lTqwhsSNP2c.zh-CN.vtt	2.3 KB
06. Scatter Plots -DvlxZ37O4i8.en.vtt	2.5 KB
06. Scatter Plots -DvlxZ37O4i8.pt-BR.vtt	2.6 KB
10. What Defines A Line-lTqwhsSNP2c.en.vtt	2.6 KB
16. How Do We Interpret Results-eLk0XGGMaCE.en.vtt	2.7 KB
02. Introduction to Machine Learning-pLcFPPI1L-0.pt-BR.vtt	2.7 KB
13. Fitting A Regression Line-xQob80zrT3s.zh-CN.vtt	2.7 KB
16. How Do We Interpret Results-eLk0XGGMaCE.pt-BR.vtt	3.0 KB
10. What Defines A Line-lTqwhsSNP2c.pt-BR.vtt	3.0 KB
13. Fitting A Regression Line-xQob80zrT3s.en.vtt	3.1 KB
06. Scatter Plots -DvlxZ37O4i8.ar.vtt	3.1 KB
13. Fitting A Regression Line-xQob80zrT3s.pt-BR.vtt	3.5 KB
index.html	5.8 KB
21. Video Recap.html	7.5 KB
01. Video Introduction.html	7.9 KB
13. Video Fitting A Regression Line.html	8.1 KB
22. Text Recap + Next Steps.html	8.1 KB
15. Screencast Fitting A Regression Line in Python.html	8.1 KB
04. Video Introduction to Linear Regression.html	8.2 KB
17. Video Does the Line Fit the Data Well.html	8.5 KB
16. Video How to Interpret the Results.html	8.6 KB
02. Video Introduction to Machine Learning.html	8.6 KB
10. Video What Defines A Line.html	8.7 KB
06. Scatter Plots.html	8.8 KB
14. Text The Regression Closed Form Solution.html	9.3 KB
03. Quiz Machine Learning Big Picture.html	9.4 KB
08. Correlation Coefficients.html	9.5 KB
05. Quiz Linear Regression Language.html	9.5 KB
12. Quiz What Defines A Line - Line Basics Quiz.html	9.9 KB
19. Notebook + Quiz Regression - Your Turn - Part I.html	11.4 KB
18. Notebook + Quiz How to Interpret the Results.html	11.5 KB
20. Notebook + Quiz Your Turn - Part II.html	12.5 KB
09. Correlation Coefficient Quizzes.html	12.6 KB
11. Quiz What Defines A Line - Notation Quiz.html	14.9 KB
07. Quizzes On Scatter Plots.html	16.2 KB
15. Fitting A Regression Line In Python-0CiMDbEUeS4.mp4	2.2 MB
01. Regression Introduction-PKqSS0TzXeA.mp4	2.3 MB
02. Introduction to Machine Learning-pLcFPPI1L-0.mp4	2.9 MB
04. Introduction to Linear Regression-RD4zbBvXDnM.mp4	3.1 MB
08. Correlation Coefficients-rL5Bn8Fi-zE.mp4	3.2 MB
21. Recap-DzMi27LI5l4.mp4	3.4 MB
10. What Defines A Line-lTqwhsSNP2c.mp4	3.5 MB
06. Scatter Plots -DvlxZ37O4i8.mp4	3.6 MB
16. How Do We Interpret Results-eLk0XGGMaCE.mp4	3.9 MB
17. How Do We Know If Our Model Fits Well-0vPtPAqMHJE.mp4	4.4 MB
13. Fitting A Regression Line-xQob80zrT3s.mp4	5.6 MB
/Part 10-Module 01-Lesson 02_Create A Git Repo/
05. Create A Repo - Outro-h7j4STDFCjs.zh-CN.vtt	0.7 KB
05. Create A Repo - Outro-h7j4STDFCjs.en.vtt	0.7 KB
05. Create A Repo - Outro-h7j4STDFCjs.pt-BR.vtt	0.8 KB
05. Create A Repo - Outro-h7j4STDFCjs.ar.vtt	1.0 KB
01. Creating New Repositories - Intro-KT163BkqIeg.zh-CN.vtt	1.7 KB
01. Creating New Repositories - Intro-KT163BkqIeg.en.vtt	1.9 KB
01. Creating New Repositories - Intro-KT163BkqIeg.pt-BR.vtt	2.0 KB
01. Creating New Repositories - Intro-KT163BkqIeg.ar.vtt	2.4 KB
index.html	3.9 KB
05. Outro.html	5.3 KB
01. Intro.html	5.4 KB
02. Create A Repo From Scratch.html	15.1 KB
04. Determine A Repo's Status.html	16.4 KB
03. Clone An Existing Repo.html	16.6 KB
05. Create A Repo - Outro-h7j4STDFCjs.mp4	3.1 MB
01. Creating New Repositories - Intro-KT163BkqIeg.mp4	7.1 MB
/Part 12-Module 01-Lesson 10_Sampling distributions and the Central Limit Theorem/
17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.zh-CN.vtt	0.7 KB
08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.zh-CN.vtt	0.7 KB
01. Introduction-SvdlBB-ZjcQ.zh-CN.vtt	0.8 KB
17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.en.vtt	0.8 KB
08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.en.vtt	0.8 KB
07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.zh-CN.vtt	0.9 KB
26. Why Are Sampling Distributions Important-aDFDOCJKoH0.zh-CN.vtt	0.9 KB
01. Introduction-SvdlBB-ZjcQ.en.vtt	0.9 KB
17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.pt-BR.vtt	0.9 KB
14. Other Sampling Distributions-Bxl0DonzX8c.zh-CN.vtt	1.0 KB
08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.pt-BR.vtt	1.0 KB
11. Introduction To Notation-ISkBSUVH49M.zh-CN.vtt	1.0 KB
01. Introduction-SvdlBB-ZjcQ.pt-BR.vtt	1.0 KB
07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.en.vtt	1.0 KB
07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.pt-BR.vtt	1.1 KB
14. Other Sampling Distributions-Bxl0DonzX8c.en.vtt	1.1 KB
08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.ar.vtt	1.1 KB
17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.ar.vtt	1.1 KB
26. Why Are Sampling Distributions Important-aDFDOCJKoH0.en.vtt	1.1 KB
26. Why Are Sampling Distributions Important-aDFDOCJKoH0.pt-BR.vtt	1.1 KB
11. Introduction To Notation-ISkBSUVH49M.en.vtt	1.1 KB
15. Two Useful Theorems-jQ5i7CALdRQ.zh-CN.vtt	1.2 KB
01. Introduction-SvdlBB-ZjcQ.ar.vtt	1.2 KB
11. Introduction To Notation-ISkBSUVH49M.pt-BR.vtt	1.3 KB
06. Example of Sampling Distributions - Part I-1XezzP6kxUE.zh-CN.vtt	1.3 KB
25. Background Of Bootstrapping-6Vg5kGoDl7k.zh-CN.vtt	1.3 KB
12. Notation Parameters vs. Statistics-webref_dLrA.zh-CN.vtt	1.3 KB
14. Other Sampling Distributions-Bxl0DonzX8c.pt-BR.vtt	1.3 KB
07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.ar.vtt	1.4 KB
20. When Does the CLT Not Work-uZGTVUEMfrU.zh-CN.vtt	1.4 KB
14. Other Sampling Distributions-Bxl0DonzX8c.ar.vtt	1.4 KB
26. Why Are Sampling Distributions Important-aDFDOCJKoH0.ar.vtt	1.4 KB
06. Example of Sampling Distributions - Part I-1XezzP6kxUE.pt-BR.vtt	1.4 KB
15. Two Useful Theorems-jQ5i7CALdRQ.en.vtt	1.4 KB
25. Background Of Bootstrapping-6Vg5kGoDl7k.pt-BR.vtt	1.4 KB
06. Example of Sampling Distributions - Part I-1XezzP6kxUE.en.vtt	1.5 KB
25. Background Of Bootstrapping-6Vg5kGoDl7k.en.vtt	1.5 KB
11. Introduction To Notation-ISkBSUVH49M.ar.vtt	1.5 KB
15. Two Useful Theorems-jQ5i7CALdRQ.pt-BR.vtt	1.5 KB
12. Notation Parameters vs. Statistics-webref_dLrA.en.vtt	1.6 KB
20. When Does the CLT Not Work-uZGTVUEMfrU.en.vtt	1.7 KB
22. Bootstrapping-42j3YclcZ4Q.zh-CN.vtt	1.7 KB
12. Notation Parameters vs. Statistics-webref_dLrA.pt-BR.vtt	1.8 KB
15. Two Useful Theorems-jQ5i7CALdRQ.ar.vtt	1.8 KB
20. When Does the CLT Not Work-uZGTVUEMfrU.pt-BR.vtt	1.8 KB
06. Example of Sampling Distributions - Part I-1XezzP6kxUE.ar.vtt	1.9 KB
25. Background Of Bootstrapping-6Vg5kGoDl7k.ar.vtt	1.9 KB
22. Bootstrapping-42j3YclcZ4Q.en.vtt	1.9 KB
23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.zh-CN.vtt	2.0 KB
12. Notation Parameters vs. Statistics-webref_dLrA.ar.vtt	2.0 KB
22. Bootstrapping-42j3YclcZ4Q.pt-BR.vtt	2.1 KB
20. When Does the CLT Not Work-uZGTVUEMfrU.ar.vtt	2.3 KB
23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.en.vtt	2.4 KB
23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.pt-BR.vtt	2.5 KB
22. Bootstrapping-42j3YclcZ4Q.ar.vtt	2.7 KB
02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.zh-CN.vtt	2.8 KB
23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.ar.vtt	3.0 KB
02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt	3.3 KB
02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.pt-BR.vtt	3.6 KB
02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.ar.vtt	4.9 KB
index.html	6.9 KB
11. Video Introduction to Notation.html	8.9 KB
14. Video Other Sampling Distributions.html	8.9 KB
26. Video Why are Sampling Distributions Important.html	9.0 KB
22. Video Bootstrapping.html	9.3 KB
08. Video Introduction to Sampling Distributions Part III.html	9.4 KB
25. Video The Background of Bootstrapping.html	9.4 KB
20. Video When Does the Central Limit Theorem Not Work.html	9.7 KB
05. Text Descriptive vs. Inferential Statistics.html	9.8 KB
17. Video Two Useful Theorems - Central Limit Theorem.html	9.9 KB
02. Video Descriptive vs. Inferential Statistics.html	10.0 KB
01. Introduction.html	10.1 KB
10. Text Sampling Distribution Notes.html	10.1 KB
16. Notebook + Quiz Law of Large Numbers.html	10.3 KB
23. Video Bootstrapping The Central Limit Theorem.html	10.3 KB
15. Video Two Useful Theorems - Law of Large Numbers.html	10.4 KB
07. Video + Quiz Introduction to Sampling Distributions Part II.html	11.2 KB
03. Quiz Descriptive vs. Inferential (Udacity Students).html	11.2 KB
06. Video + Quiz Introduction to Sampling Distributions Part I.html	11.3 KB
12. Video Notation for Parameters vs. Statistics.html	12.1 KB
13. Quiz Notation.html	12.3 KB
24. Notebook + Quiz Bootstrapping.html	12.4 KB
19. Notebook + Quiz Central Limit Theorem - Part II.html	12.5 KB
18. Notebook + Quiz Central Limit Theorem.html	12.6 KB
21. Notebook + Quiz Central Limit Theorem - Part III.html	13.0 KB
09. Notebook + Quiz Sampling Distributions Python.html	15.4 KB
27. Quiz + Text Recap Next Steps.html	15.4 KB
04. Quiz Descriptive vs. Inferential (Bagels).html	17.4 KB
17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.mp4	2.9 MB
01. Introduction-SvdlBB-ZjcQ.mp4	2.9 MB
11. Introduction To Notation-ISkBSUVH49M.mp4	3.4 MB
06. Example of Sampling Distributions - Part I-1XezzP6kxUE.mp4	3.7 MB
08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.mp4	3.7 MB
07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.mp4	4.1 MB
23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.mp4	4.3 MB
26. Why Are Sampling Distributions Important-aDFDOCJKoH0.mp4	4.3 MB
15. Two Useful Theorems-jQ5i7CALdRQ.mp4	4.4 MB
14. Other Sampling Distributions-Bxl0DonzX8c.mp4	4.4 MB
22. Bootstrapping-42j3YclcZ4Q.mp4	4.4 MB
20. When Does the CLT Not Work-uZGTVUEMfrU.mp4	5.0 MB
25. Background Of Bootstrapping-6Vg5kGoDl7k.mp4	5.6 MB
02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.mp4	6.5 MB
12. Notation Parameters vs. Statistics-webref_dLrA.mp4	6.6 MB
/Part 15-Module 01-Lesson 03_Software Engineering Practices Pt II/
14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.en.vtt	0.7 KB
01. L2 2 01 Intro V1 V2-QO2GYq8q92E.en.vtt	0.7 KB
14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.pt-BR.vtt	0.8 KB
01. L2 2 01 Intro V1 V2-QO2GYq8q92E.pt-BR.vtt	0.9 KB
11. L2 2 14 Code Review V1 V2-zAy1ffMFA-k.en.vtt	1.0 KB
08. L2 2 11 Logging V2-9qKQdRoIMbU.en.vtt	1.1 KB
11. L2 2 14 Code Review V1 V2-zAy1ffMFA-k.pt-BR.vtt	1.2 KB
08. L2 2 11 Logging V2-9qKQdRoIMbU.pt-BR.vtt	1.3 KB
02. L2 2 02 Testing V1 V1-IkLUUHt_jis.en.vtt	1.4 KB
02. L2 2 02 Testing V1 V1-IkLUUHt_jis.pt-BR.vtt	1.7 KB
05. 07 Unit Testing Tools V1-8bKhOyFbX_Y.en.vtt	1.9 KB
05. 07 Unit Testing Tools V1-8bKhOyFbX_Y.pt-BR.vtt	2.2 KB
03. L2 2 03 Testing Data Science V1 V4-AsnstNEMv1c.en.vtt	2.2 KB
03. L2 2 03 Testing Data Science V1 V4-AsnstNEMv1c.pt-BR.vtt	2.7 KB
07. L2 2 09 Test Driven Development DS V1 V2-M-eskssLcQM.en.vtt	3.3 KB
07. L2 2 09 Test Driven Development DS V1 V2-M-eskssLcQM.pt-BR.vtt	3.8 KB
04. 06 Unit Tests V1-wb9jggHEvgI.en.vtt	4.0 KB
04. 06 Unit Tests V1-wb9jggHEvgI.pt-BR.vtt	4.1 KB
index.html	4.6 KB
14. Conclusion.html	6.2 KB
02. Testing.html	6.4 KB
01. Introduction.html	6.5 KB
08. Logging.html	6.5 KB
06. Quiz Unit Tests.html	6.6 KB
11. Code Review.html	6.7 KB
09. Log Messages.html	7.2 KB
10. Logging.html	7.3 KB
05. Unit Testing Tools.html	7.4 KB
04. Unit Tests.html	7.5 KB
03. Testing and Data Science.html	7.6 KB
12. Questions to Ask Yourself When Conducting a Code Review.html	7.8 KB
07. Test Driven Development and Data Science.html	8.1 KB
13. Tips for Conducting a Code Review.html	10.4 KB
14. L2 2 16 Conclusion V1 V1-fDpQBbqd_kg.mp4	2.2 MB
05. 07 Unit Testing Tools V1-8bKhOyFbX_Y.mp4	2.9 MB
01. L2 2 01 Intro V1 V2-QO2GYq8q92E.mp4	3.0 MB
08. L2 2 11 Logging V2-9qKQdRoIMbU.mp4	3.2 MB
11. L2 2 14 Code Review V1 V2-zAy1ffMFA-k.mp4	3.5 MB
02. L2 2 02 Testing V1 V1-IkLUUHt_jis.mp4	4.3 MB
04. 06 Unit Tests V1-wb9jggHEvgI.mp4	4.7 MB
07. L2 2 09 Test Driven Development DS V1 V2-M-eskssLcQM.mp4	6.2 MB
03. L2 2 03 Testing Data Science V1 V4-AsnstNEMv1c.mp4	8.1 MB
/Part 14-Module 01-Lesson 01_The Data Science Process/
01. Introduction-VpxATYHhKM8.en.vtt	0.7 KB
01. Introduction-VpxATYHhKM8.pt-BR.vtt	0.8 KB
10. The Data Science Process Gathering And Wrangling-GvyfIiJUXWg.pt-BR.vtt	1.1 KB
10. The Data Science Process Gathering And Wrangling-GvyfIiJUXWg.en.vtt	1.1 KB
24. Working With Missing Values-mbAgYicmzqE.en.vtt	1.1 KB
24. Working With Missing Values-mbAgYicmzqE.pt-BR.vtt	1.2 KB
20. Predicting Salary-g1ZAn02ETK4.en.vtt	1.3 KB
38. Working With Categorical Variables-IoQOiuxsIZg.en.vtt	1.3 KB
02. CRISP-DM-PaVwnGcqlSE.en.vtt	1.4 KB
45. The Data Science Process Evaluate And Deploy-sxT43JlH_eM.en.vtt	1.5 KB
02. CRISP-DM-PaVwnGcqlSE.pt-BR.vtt	1.5 KB
20. Predicting Salary-g1ZAn02ETK4.pt-BR.vtt	1.5 KB
38. Working With Categorical Variables-IoQOiuxsIZg.pt-BR.vtt	1.5 KB
45. The Data Science Process Evaluate And Deploy-sxT43JlH_eM.pt-BR.vtt	1.6 KB
04. Business And Data Understanding - Example-bXQTGS61BU8.en.vtt	1.6 KB
26. Removing Data - When Is It OK-oQhIPq5AccU.en.vtt	1.7 KB
04. Business And Data Understanding - Example-bXQTGS61BU8.pt-BR.vtt	1.7 KB
18. It Is Not Always About ML-ECqflypBU7M.en.vtt	1.8 KB
26. Removing Data - When Is It OK-oQhIPq5AccU.pt-BR.vtt	1.8 KB
27. Removing Data - Other Considerations-xrXk_Tvi0oQ.en.vtt	1.8 KB
27. Removing Data - Other Considerations-xrXk_Tvi0oQ.pt-BR.vtt	1.9 KB
19. The Data Science Process Modeling-bzR6HQBn5CA.en.vtt	2.0 KB
03. The Data Science Process Business And Data Understanding-eG_jKQezhc4.en.vtt	2.0 KB
03. The Data Science Process Business And Data Understanding-eG_jKQezhc4.pt-BR.vtt	2.0 KB
18. It Is Not Always About ML-ECqflypBU7M.pt-BR.vtt	2.0 KB
19. The Data Science Process Modeling-bzR6HQBn5CA.pt-BR.vtt	2.2 KB
25. Removing Data - Why Not-w3-5Z5mEzTM.en.vtt	2.2 KB
09. Business And Data Understanding - Part 2-iInjuIgBWIo.en.vtt	2.5 KB
09. Business And Data Understanding - Part 2-iInjuIgBWIo.pt-BR.vtt	2.6 KB
25. Removing Data - Why Not-w3-5Z5mEzTM.pt-BR.vtt	2.7 KB
41. How To Fix This-IPQZ4pfRMRA.en.vtt	3.0 KB
41. How To Fix This-IPQZ4pfRMRA.pt-BR.vtt	3.0 KB
33. Imputing Missing Values-CEWIPjz_gCE.en.vtt	3.2 KB
05. Using Workspaces-45N9NK6kQ0Y.pt-BR.vtt	5.9 KB
30. Removing Data-97UTBiybYTs.pt-BR.vtt	6.0 KB
11. How To Break Into The Field-0-Y39LZ80VE.pt-BR.vtt	6.1 KB
30. Removing Data-97UTBiybYTs.en.vtt	6.2 KB
37. Imputing Values-nTM4HiDneeE.pt-BR.vtt	6.3 KB
11. How To Break Into The Field-0-Y39LZ80VE.en.vtt	6.8 KB
37. Imputing Values-nTM4HiDneeE.en.vtt	6.8 KB
14. Bootcamps-l2tYmee3kxo.pt-BR.vtt	7.0 KB
05. Using Workspaces-45N9NK6kQ0Y.en.vtt	7.2 KB
14. Bootcamps-l2tYmee3kxo.en.vtt	7.3 KB
index.html	8.5 KB
23. What Happened-gLn6_Z3nwcc.en.vtt	8.8 KB
23. What Happened-gLn6_Z3nwcc.pt-BR.vtt	8.8 KB
17. Job Satisfaction-OjCNMhWlYh8.pt-BR.vtt	9.7 KB
43. Putting It All Together-3SX4dMZPNEI.pt-BR.vtt	10.0 KB
17. Job Satisfaction-OjCNMhWlYh8.en.vtt	10.0 KB
07. A Look at the Data-vPHVUYvCNGE.pt-BR.vtt	10.1 KB
43. Putting It All Together-3SX4dMZPNEI.en.vtt	10.4 KB
01. Video Intro.html	10.7 KB
14. Screencast Bootcamps.html	10.7 KB
32. Removing Data Part II-lPl6-Z098Rs.pt-BR.vtt	10.7 KB
21. Screencast Predicting Salary.html	10.7 KB
35. Imputation Methods-OwEWSBitF-Q.pt-BR.vtt	10.8 KB
11. Screencast How To Break Into the Field.html	10.8 KB
04. Video Business Data Understanding - Example.html	11.1 KB
41. Video How to Fix This.html	11.2 KB
22. Notebook + Quiz What Happened.html	11.3 KB
36. Notebook + Quiz Imputing Values.html	11.3 KB
29. Notebook + Quiz Removing Values.html	11.3 KB
16. Notebook + Quiz Job Satisfaction.html	11.3 KB
06. Quiz + Notebook A Look at the Data.html	11.3 KB
39. Notebook + Quiz Categorical Variables.html	11.3 KB
31. Notebook + Quiz Removing Data Part II.html	11.3 KB
42. Notebook + Quiz Putting It All Together .html	11.3 KB
12. Notebook + Quiz How To Break Into the Field.html	11.3 KB
34. Notebook + Quiz Imputation Methods Resources.html	11.3 KB
05. Screencast Using Workspaces.html	11.3 KB
38. Video Working With Categorical Variables Refresher.html	11.4 KB
27. Video Removing Data - Other Considerations.html	11.4 KB
02. Video CRISP-DM.html	11.5 KB
32. Removing Data Part II-lPl6-Z098Rs.en.vtt	11.6 KB
45. Video The Data Science Process - Evaluate Deploy.html	11.6 KB
20. Video Predicting Salary.html	11.7 KB
30. ScreenCast Removing Data Solution.html	11.7 KB
17. Screencast Job Satisfaction.html	11.7 KB
23. Screencast What Happened Solution.html	11.7 KB
07. Screencast A Look at the Data.html	11.7 KB
37. Screencast Imputing Values Solution.html	11.7 KB
24. Video Working With Missing Values.html	11.7 KB
40. Screencast Categorical Variables Solution.html	11.8 KB
32. Screencast Removing Data Part II Solution.html	11.8 KB
35. Screencast Imputation Methods Resources Solution.html	11.8 KB
25. Video Removing Data - Why Not.html	11.8 KB
09. Video Business Data Understanding .html	11.8 KB
43. Screencast + Notebook Putting It All Together Solution.html	11.8 KB
26. Video Removing Data - When Is It OK.html	11.8 KB
13. Screencast How to Break Into the Field Solution.html	11.8 KB
03. Video The Data Science Process - Business Data.html	11.8 KB
07. A Look at the Data-vPHVUYvCNGE.en.vtt	12.0 KB
10. Video Gathering Wrangling.html	12.0 KB
33. Video Imputing Missing Values.html	12.2 KB
35. Imputation Methods-OwEWSBitF-Q.en.vtt	12.2 KB
08. What Should You Check.html	12.3 KB
19. Video The Data Science Process - Modeling.html	12.4 KB
46. Text Recap.html	13.0 KB
18. Video It Is Not Always About ML.html	13.0 KB
13. How to Break Into the Field Solution-Db_2Lmwo4EY.pt-BR.vtt	14.8 KB
40. Categorical Variables-p3gDUkBD9uM.pt-BR.vtt	15.0 KB
21. Predicting Salary-HTp4LA1MJh8.pt-BR.vtt	15.3 KB
21. Predicting Salary-HTp4LA1MJh8.en.vtt	15.5 KB
40. Categorical Variables-p3gDUkBD9uM.en.vtt	15.7 KB
13. How to Break Into the Field Solution-Db_2Lmwo4EY.en.vtt	15.7 KB
28. Quiz Removing Data.html	16.7 KB
15. Quiz Bootcamp Takeaways.html	18.6 KB
44. Text + Quiz Results.html	20.3 KB
20. Predicting Salary-g1ZAn02ETK4.mp4	2.3 MB
01. Introduction-VpxATYHhKM8.mp4	2.3 MB
38. Working With Categorical Variables-IoQOiuxsIZg.mp4	2.8 MB
10. The Data Science Process Gathering And Wrangling-GvyfIiJUXWg.mp4	2.8 MB
19. The Data Science Process Modeling-bzR6HQBn5CA.mp4	3.9 MB
02. CRISP-DM-PaVwnGcqlSE.mp4	4.2 MB
24. Working With Missing Values-mbAgYicmzqE.mp4	4.2 MB
41. How To Fix This-IPQZ4pfRMRA.mp4	4.3 MB
27. Removing Data - Other Considerations-xrXk_Tvi0oQ.mp4	4.9 MB
45. The Data Science Process Evaluate And Deploy-sxT43JlH_eM.mp4	5.3 MB
25. Removing Data - Why Not-w3-5Z5mEzTM.mp4	5.3 MB
04. Business And Data Understanding - Example-bXQTGS61BU8.mp4	5.8 MB
03. The Data Science Process Business And Data Understanding-eG_jKQezhc4.mp4	6.1 MB
26. Removing Data - When Is It OK-oQhIPq5AccU.mp4	6.3 MB
18. It Is Not Always About ML-ECqflypBU7M.mp4	6.9 MB
09. Business And Data Understanding - Part 2-iInjuIgBWIo.mp4	7.1 MB
30. Removing Data-97UTBiybYTs.mp4	7.7 MB
33. Imputing Missing Values-CEWIPjz_gCE.mp4	8.8 MB
11. How To Break Into The Field-0-Y39LZ80VE.mp4	8.9 MB
05. Using Workspaces-45N9NK6kQ0Y.mp4	9.8 MB
14. Bootcamps-l2tYmee3kxo.mp4	10.7 MB
23. What Happened-gLn6_Z3nwcc.mp4	12.7 MB
37. Imputing Values-nTM4HiDneeE.mp4	13.8 MB
17. Job Satisfaction-OjCNMhWlYh8.mp4	16.2 MB
43. Putting It All Together-3SX4dMZPNEI.mp4	16.8 MB
07. A Look at the Data-vPHVUYvCNGE.mp4	17.2 MB
21. Predicting Salary-HTp4LA1MJh8.mp4	18.2 MB
32. Removing Data Part II-lPl6-Z098Rs.mp4	18.5 MB
35. Imputation Methods-OwEWSBitF-Q.mp4	19.3 MB
40. Categorical Variables-p3gDUkBD9uM.mp4	22.9 MB
13. How to Break Into the Field Solution-Db_2Lmwo4EY.mp4	25.7 MB
/Part 07-Module 01-Lesson 03_SQL Aggregations/
09. MIN MAX-1ewVsgWUih8.zh-CN.vtt	0.7 KB
09. MIN MAX-1ewVsgWUih8.en.vtt	0.8 KB
09. MIN MAX-1ewVsgWUih8.pt-BR.vtt	0.8 KB
06. SUM-0zUP14PeiXk.zh-CN.vtt	1.0 KB
02. NULLs-WYUkLKn6XCw.zh-CN.vtt	1.0 KB
09. MIN MAX-1ewVsgWUih8.ar.vtt	1.1 KB
02. NULLs-WYUkLKn6XCw.en.vtt	1.1 KB
06. SUM-0zUP14PeiXk.en.vtt	1.1 KB
19. DISTINCT-YDJEHkgKORY.zh-CN.vtt	1.2 KB
06. SUM-0zUP14PeiXk.pt-BR.vtt	1.2 KB
02. NULLs-WYUkLKn6XCw.pt-BR.vtt	1.2 KB
10. AVG-diqCDztOL64.zh-CN.vtt	1.2 KB
16. GROUP BY Part II-0HQ-TshNNQA.zh-CN.vtt	1.2 KB
04. COUNT-b4FCWAEGmLg.zh-CN.vtt	1.3 KB
19. DISTINCT-YDJEHkgKORY.pt-BR.vtt	1.3 KB
19. DISTINCT-YDJEHkgKORY.en.vtt	1.3 KB
16. GROUP BY Part II-0HQ-TshNNQA.en.vtt	1.4 KB
10. AVG-diqCDztOL64.pt-BR.vtt	1.4 KB
06. SUM-0zUP14PeiXk.ar.vtt	1.4 KB
16. GROUP BY Part II-0HQ-TshNNQA.pt-BR.vtt	1.5 KB
04. COUNT-b4FCWAEGmLg.en.vtt	1.5 KB
10. AVG-diqCDztOL64.en.vtt	1.5 KB
02. NULLs-WYUkLKn6XCw.ar.vtt	1.6 KB
05. COUNT NULLs-ngxgqfFFFLQ.zh-CN.vtt	1.6 KB
30. CASE Statements and Aggregations-asSXB6iD3z4.zh-CN.vtt	1.6 KB
04. COUNT-b4FCWAEGmLg.pt-BR.vtt	1.7 KB
16. GROUP BY Part II-0HQ-TshNNQA.ar.vtt	1.7 KB
22. Having-D4gmN0vnk58.en.vtt	1.8 KB
19. DISTINCT-YDJEHkgKORY.ar.vtt	1.8 KB
30. CASE Statements and Aggregations-asSXB6iD3z4.en.vtt	1.8 KB
22. Having-D4gmN0vnk58.pt-BR.vtt	1.8 KB
04. COUNT-b4FCWAEGmLg.ar.vtt	1.9 KB
10. AVG-diqCDztOL64.ar.vtt	1.9 KB
05. COUNT NULLs-ngxgqfFFFLQ.en.vtt	1.9 KB
30. CASE Statements and Aggregations-asSXB6iD3z4.pt-BR.vtt	1.9 KB
03. Data Types and NULLs-RgTcYwKqtYI.zh-CN.vtt	2.0 KB
05. COUNT NULLs-ngxgqfFFFLQ.pt-BR.vtt	2.0 KB
30. CASE Statements and Aggregations-asSXB6iD3z4.ar.vtt	2.3 KB
01. Introduction to Aggregations-5vRf_Ntoxfw.zh-CN.vtt	2.3 KB
03. Data Types and NULLs-RgTcYwKqtYI.pt-BR.vtt	2.3 KB
03. Data Types and NULLs-RgTcYwKqtYI.en.vtt	2.3 KB
22. Having-D4gmN0vnk58.ar.vtt	2.5 KB
05. COUNT NULLs-ngxgqfFFFLQ.ar.vtt	2.6 KB
01. Introduction to Aggregations-5vRf_Ntoxfw.en.vtt	2.6 KB
01. Introduction to Aggregations-5vRf_Ntoxfw.pt-BR.vtt	2.8 KB
13. GROUP BY-9vb67TF4WV0.zh-CN.vtt	2.9 KB
25. DATE Functions I-E7Z6GMFVmIY.zh-CN.vtt	3.1 KB
03. Data Types and NULLs-RgTcYwKqtYI.ar.vtt	3.1 KB
13. GROUP BY-9vb67TF4WV0.en.vtt	3.2 KB
13. GROUP BY-9vb67TF4WV0.pt-BR.vtt	3.4 KB
25. DATE Functions I-E7Z6GMFVmIY.en.vtt	3.6 KB
01. Introduction to Aggregations-5vRf_Ntoxfw.ar.vtt	3.6 KB
25. DATE Functions I-E7Z6GMFVmIY.pt-BR.vtt	3.7 KB
26. DATE Functions Part II-UPWkDhW4cLI.zh-CN.vtt	3.9 KB
13. GROUP BY-9vb67TF4WV0.ar.vtt	4.1 KB
26. DATE Functions Part II-UPWkDhW4cLI.en.vtt	4.3 KB
26. DATE Functions Part II-UPWkDhW4cLI.pt-BR.vtt	4.3 KB
29. 11 CASE V2-BInXuTY_FzE.zh-CN.vtt	4.5 KB
25. DATE Functions I-E7Z6GMFVmIY.ar.vtt	5.1 KB
29. 11 CASE V2-BInXuTY_FzE.en.vtt	5.3 KB
29. 11 CASE V2-BInXuTY_FzE.pt-BR.vtt	5.6 KB
index.html	6.1 KB
26. DATE Functions Part II-UPWkDhW4cLI.ar.vtt	6.1 KB
29. 11 CASE V2-BInXuTY_FzE.ar.vtt	6.4 KB
33. Text Recap.html	8.5 KB
02. Video Introduction to NULLs.html	8.5 KB
22. Video HAVING.html	8.6 KB
05. Video COUNT NULLs.html	8.6 KB
01. Video Introduction to Aggregation.html	8.6 KB
06. Video SUM.html	9.0 KB
30. Video CASE Aggregations.html	9.1 KB
10. Video AVG.html	9.1 KB
20. Quiz DISTINCT.html	9.1 KB
19. Video DISTINCT.html	9.2 KB
09. Video MIN MAX.html	9.2 KB
25. Video DATE Functions.html	9.3 KB
03. Video NULLs and Aggregation.html	9.3 KB
16. Video GROUP BY Part II.html	9.6 KB
07. Quiz SUM.html	9.7 KB
04. Video + Text First Aggregation - COUNT.html	9.8 KB
27. Quiz DATE Functions.html	9.9 KB
13. Video GROUP BY.html	9.9 KB
11. Quiz MIN, MAX, AVG.html	9.9 KB
26. Video DATE Functions II.html	10.0 KB
21. Solutions DISTINCT.html	10.1 KB
08. Solution SUM.html	10.2 KB
17. Quiz GROUP BY Part II.html	10.3 KB
18. Solutions GROUP BY Part II.html	10.9 KB
14. Quiz GROUP BY.html	11.0 KB
12. Solutions MIN, MAX, AVG.html	11.1 KB
15. Solutions GROUP BY.html	11.5 KB
31. Quiz CASE.html	11.6 KB
28. Solutions DATE Functions.html	11.7 KB
29. Video CASE Statements.html	11.8 KB
23. HAVING.html	11.8 KB
24. Solutions HAVING.html	12.2 KB
32. Solutions CASE.html	13.4 KB
09. MIN MAX-1ewVsgWUih8.mp4	710.3 KB
06. SUM-0zUP14PeiXk.mp4	940.9 KB
10. AVG-diqCDztOL64.mp4	998.8 KB
19. DISTINCT-YDJEHkgKORY.mp4	1.1 MB
04. COUNT-b4FCWAEGmLg.mp4	1.4 MB
16. GROUP BY Part II-0HQ-TshNNQA.mp4	1.4 MB
30. CASE Statements and Aggregations-asSXB6iD3z4.mp4	1.6 MB
05. COUNT NULLs-ngxgqfFFFLQ.mp4	2.1 MB
03. Data Types and NULLs-RgTcYwKqtYI.mp4	2.2 MB
22. Having-D4gmN0vnk58.mp4	2.3 MB
02. NULLs-WYUkLKn6XCw.mp4	4.0 MB
25. DATE Functions I-E7Z6GMFVmIY.mp4	4.0 MB
26. DATE Functions Part II-UPWkDhW4cLI.mp4	4.8 MB
13. GROUP BY-9vb67TF4WV0.mp4	6.0 MB
29. 11 CASE V2-BInXuTY_FzE.mp4	7.9 MB
01. Introduction to Aggregations-5vRf_Ntoxfw.mp4	9.7 MB
/Part 02-Module 01-Lesson 04_Decision Trees/
13. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.pt-BR.vtt	0.7 KB
13. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.zh-CN.vtt	0.7 KB
13. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt	0.8 KB
03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.zh-CN.vtt	1.4 KB
03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.pt-BR.vtt	1.5 KB
02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.zh-CN.vtt	1.6 KB
03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.en.vtt	1.6 KB
05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.pt-BR.vtt	1.6 KB
05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.zh-CN.vtt	1.7 KB
02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt	1.7 KB
02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.pt-BR.vtt	1.7 KB
08. Entropy Formula-iZiSYrOKvpo.pt-BR.vtt	1.7 KB
08. Entropy Formula-iZiSYrOKvpo.zh-CN.vtt	1.8 KB
08. Entropy Formula-iZiSYrOKvpo.en.vtt	1.8 KB
05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt	1.8 KB
06. Student Admissions-TdgBi6LtOB8.pt-BR.vtt	2.4 KB
06. Student Admissions-TdgBi6LtOB8.zh-CN.vtt	2.4 KB
06. Student Admissions-TdgBi6LtOB8.en.vtt	2.6 KB
04. Recommending Apps-nEvW8B1HNq4.pt-BR.vtt	2.6 KB
10. Entropy Formula-w73JTBVeyjE.zh-CN.vtt	2.6 KB
04. Recommending Apps-nEvW8B1HNq4.zh-CN.vtt	2.6 KB
10. Entropy Formula-w73JTBVeyjE.pt-BR.vtt	2.7 KB
04. Recommending Apps-nEvW8B1HNq4.en.vtt	2.8 KB
14. Information Gain-k9iZL53PAmw.pt-BR.vtt	2.9 KB
14. Information Gain-k9iZL53PAmw.zh-CN.vtt	3.0 KB
10. Entropy Formula-w73JTBVeyjE.en.vtt	3.0 KB
15. Maximizing Information Gain-3FgJOpKfdY8.pt-BR.vtt	3.4 KB
14. Information Gain-k9iZL53PAmw.en.vtt	3.4 KB
15. Maximizing Information Gain-3FgJOpKfdY8.zh-CN.vtt	3.8 KB
09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.pt-BR.vtt	4.0 KB
15. Maximizing Information Gain-3FgJOpKfdY8.en.vtt	4.1 KB
07. Entropy-piLpj1V1HEk.pt-BR.vtt	4.3 KB
01. MLND SL DT 00 Intro V2-l34ijtQhVNk.pt-BR.vtt	4.4 KB
01. MLND SL DT 00 Intro V2-l34ijtQhVNk.zh-CN.vtt	4.4 KB
07. Entropy-piLpj1V1HEk.zh-CN.vtt	4.4 KB
01. MLND SL DT 00 Intro V2-l34ijtQhVNk.en.vtt	4.5 KB
09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.zh-CN.vtt	4.5 KB
07. Entropy-piLpj1V1HEk.en.vtt	4.9 KB
09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.en.vtt	5.0 KB
index.html	5.2 KB
11. Quiz Do You Know Your Entropy.html	6.8 KB
21. Outro.html	6.9 KB
07. Entropy.html	6.9 KB
01. Intro.html	7.0 KB
04. Recommending Apps 3.html	7.0 KB
15. Maximizing Information Gain.html	7.0 KB
06. Solution Student Admissions.html	7.2 KB
20. [Solution] Titanic Survival Model.html	7.4 KB
10. Entropy Formula 3.html	7.4 KB
19. Titanic Survival Model with Decision Trees.html	7.4 KB
14. Solution Information Gain.html	7.7 KB
16. Calculating Information Gain on a Dataset.html	8.2 KB
03. Recommending Apps 2.html	8.3 KB
09. Entropy Formula 2.html	8.3 KB
05. Quiz Student Admissions.html	8.4 KB
08. Entropy Formula 1.html	8.8 KB
12. Multiclass Entropy.html	8.9 KB
13. Quiz Information Gain.html	9.2 KB
02. Recommending Apps 1.html	10.3 KB
17. Hyperparameters.html	12.9 KB
18. Decision Trees in sklearn.html	16.2 KB
13. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.mp4	2.3 MB
05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.mp4	4.4 MB
03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4	4.4 MB
08. Entropy Formula-iZiSYrOKvpo.mp4	4.5 MB
02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4	5.0 MB
06. Student Admissions-TdgBi6LtOB8.mp4	5.7 MB
04. Recommending Apps-nEvW8B1HNq4.mp4	6.6 MB
10. Entropy Formula-w73JTBVeyjE.mp4	8.4 MB
14. Information Gain-k9iZL53PAmw.mp4	9.7 MB
09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.mp4	12.9 MB
07. Entropy-piLpj1V1HEk.mp4	13.2 MB
15. Maximizing Information Gain-3FgJOpKfdY8.mp4	13.8 MB
01. MLND SL DT 00 Intro V2-l34ijtQhVNk.mp4	22.7 MB
/Part 06-Module 01-Lesson 04_Functions/
18. Conclusion-QRnLr7pwHyk.zh-CN.vtt	0.7 KB
18. Conclusion-QRnLr7pwHyk.pt-BR.vtt	0.7 KB
18. Conclusion-QRnLr7pwHyk.en.vtt	0.8 KB
18. Conclusion-QRnLr7pwHyk.ar.vtt	1.0 KB
05. Variable Scope-rYubQlAM-gw.zh-CN.vtt	1.1 KB
05. Variable Scope-rYubQlAM-gw.en.vtt	1.3 KB
01. Introduction-p5L4rTV1Pgk.zh-CN.vtt	1.3 KB
01. Introduction-p5L4rTV1Pgk.en.vtt	1.4 KB
01. Introduction-p5L4rTV1Pgk.pt-BR.vtt	1.5 KB
05. Variable Scope-rYubQlAM-gw.pt-BR.vtt	1.6 KB
05. Variable Scope-rYubQlAM-gw.ar.vtt	1.6 KB
01. Introduction-p5L4rTV1Pgk.ar.vtt	1.8 KB
02. Default Arguments-cG6UfBZX2KI.zh-CN.vtt	1.9 KB
11. L4 08 Lambda Expressions V3-wkEmPz1peJM.zh-CN.vtt	2.0 KB
02. Default Arguments-cG6UfBZX2KI.en.vtt	2.1 KB
11. L4 08 Lambda Expressions V3-wkEmPz1peJM.en.vtt	2.2 KB
08. Documentation-_Vl9NJkA6JQ.zh-CN.vtt	2.4 KB
02. Default Arguments-cG6UfBZX2KI.pt-BR.vtt	2.5 KB
14. Iterators And Generators-tYH8X4Zeh-0.zh-CN.vtt	2.5 KB
14. Iterators And Generators-tYH8X4Zeh-0.en.vtt	2.7 KB
11. L4 08 Lambda Expressions V3-wkEmPz1peJM.pt-BR.vtt	2.7 KB
08. Documentation-_Vl9NJkA6JQ.en.vtt	2.8 KB
02. Default Arguments-cG6UfBZX2KI.ar.vtt	2.8 KB
14. Iterators And Generators-tYH8X4Zeh-0.pt-BR.vtt	3.0 KB
08. Documentation-_Vl9NJkA6JQ.pt-BR.vtt	3.1 KB
08. Documentation-_Vl9NJkA6JQ.ar.vtt	3.5 KB
14. Iterators And Generators-tYH8X4Zeh-0.ar.vtt	3.5 KB
02. Defining Functions-IP_tJYhynbc.zh-CN.vtt	4.9 KB
index.html	5.1 KB
02. Defining Functions-IP_tJYhynbc.en.vtt	5.5 KB
02. Defining Functions-IP_tJYhynbc.pt-BR.vtt	6.1 KB
02. Defining Functions-IP_tJYhynbc.ar.vtt	6.8 KB
19. Further Learning.html	6.9 KB
17. [Optional] Generator Expressions.html	6.9 KB
13. Solution Lambda Expressions.html	7.3 KB
06. Variable Scope.html	7.4 KB
01. Introduction.html	7.4 KB
18. Conclusion.html	7.5 KB
10. Solution Documentation.html	7.5 KB
07. Solution Variable Scope.html	7.6 KB
09. Quiz Documentation.html	7.8 KB
16. [Optional] Solution Iterators and Generators.html	7.9 KB
04. Solution Defining Functions.html	8.1 KB
11. Lambda Expressions.html	8.5 KB
08. Documentation.html	9.0 KB
14. [Optional] Iterators and Generators.html	9.3 KB
12. Quiz Lambda Expressions.html	9.7 KB
03. Quiz Defining Functions.html	9.7 KB
15. [Optional] Quiz Iterators and Generators.html	9.7 KB
05. Variable Scope.html	9.8 KB
02. Defining Functions.html	15.1 KB
18. Conclusion-QRnLr7pwHyk.mp4	4.7 MB
02. Default Arguments-cG6UfBZX2KI.mp4	5.9 MB
11. L4 08 Lambda Expressions V3-wkEmPz1peJM.mp4	8.4 MB
01. Introduction-p5L4rTV1Pgk.mp4	9.3 MB
05. Variable Scope-rYubQlAM-gw.mp4	9.5 MB
02. Defining Functions-IP_tJYhynbc.mp4	16.2 MB
08. Documentation-_Vl9NJkA6JQ.mp4	16.7 MB
14. Iterators And Generators-tYH8X4Zeh-0.mp4	19.9 MB
/Part 17-Module 03-Lesson 01_Introduction to Recommendation Engines/
04. Intro To MovieTweetings-cuXvLIkq_W8.en.vtt	0.7 KB
02. Identifying Recommendation Engines-KwegrgvV-V4.en.vtt	0.8 KB
11. Intro To Collab Filtering-wGq7dUgJpsc.en.vtt	1.0 KB
01. Intro-svCesgAQ46Q.en.vtt	1.1 KB
29. Conclusion-zX5jZH2y8d8.en.vtt	1.1 KB
12. Types Of Collaborative Filtering-fZhkWHHP6SM.en.vtt	1.8 KB
20. Content Based Recommendations-pnGHpB77Mys.en.vtt	2.1 KB
10. More Personalized Recommendations-9l8mi7i6iW4.en.vtt	2.1 KB
07. Knowledge Based Recommendations-C_vU1tjQHZI.en.vtt	2.2 KB
26. Types Of Ratings-fMjqe4sxBlQ.en.vtt	2.3 KB
16. Identifying Recommendations-P60qvS_OTMg.en.vtt	2.4 KB
27. Goals Of Recommendation Systems-WzelOlFeDmU.en.vtt	2.5 KB
23. Types Of Recommendations-uoXF81AO21E.en.vtt	2.6 KB
13. Measuring SImilarity-G_Y6IPmp7Xs.en.vtt	3.1 KB
15. Recommendations 1 14 7251010 V1-sVZ5S1nnRf8.en.vtt	3.6 KB
22. Recommendations 1 20 0425 V1-vPpX7ITgb3g.en.vtt	3.9 KB
22. Recommendations 1 20 4271048 V1-2On65U7Panw.en.vtt	4.2 KB
18. Recommendations 1 17a 0422 V1-J4MOXJhMGGA.en.vtt	4.3 KB
22. Recommendations 1 20 10491855 V2-pjoxB00grHw.en.vtt	5.1 KB
06. Recommendations 1 6 0950 V1-yrNZ0sQwNcs.en.vtt	5.7 KB
19. Recommendations 1 17b 20332637 V1-UnDocJ9VUec.en.vtt	5.8 KB
15. Recommendations 1 14 10131720 V1-DWHYK0XSI70.en.vtt	6.5 KB
index.html	6.8 KB
15. Recommendations 1 14 012725 V1-Y1dN-mB39rM.en.vtt	7.0 KB
09. Recommendations 1 9 33514421 V1-TCaeEdrbYRc.en.vtt	7.7 KB
29. Video Outro.html	8.5 KB
23. Video Three Types of Recommendation Systems.html	8.6 KB
11. Video Ways to Recommend Collaborative Filtering.html	8.6 KB
21. Notebook Content Based.html	9.2 KB
08. Notebook Knowledge Based.html	9.2 KB
05. Notebook MovieTweeting Data.html	9.2 KB
14. Notebook Measuring Similarity.html	9.2 KB
17. Notebook Collaborative Filtering.html	9.2 KB
10. Video More Personalized Recommendations.html	9.3 KB
04. Video Introduction to MovieTweetings.html	9.3 KB
01. Video Intro.html	9.4 KB
06. Screencast Solution MovieTweeting Data .html	9.6 KB
13. Video + Text Measuring Similarity.html	9.6 KB
09. Screencast Solution Knowledge Based.html	9.6 KB
27. Video Goals of Recommendation Systems.html	9.8 KB
07. Video Ways to Recommend Knowledge Based.html	9.9 KB
26. Video Types of Ratings.html	10.0 KB
03. Text What's Ahead.html	10.0 KB
20. Video Ways to Recommend Content Based.html	10.1 KB
16. Video Identifying Recommendations.html	10.1 KB
15. Screencast Solution Measuring Similarity.html	10.2 KB
02. Video + Text Example Recommendation Engines.html	10.2 KB
19. Screencast Solutions for Collaborative Filtering.html	10.3 KB
22. Screencast Solution Content Based.html	10.4 KB
18. Screencast Solution Collaborative Filtering.html	10.7 KB
30. Text Recap.html	11.0 KB
28. Quiz Types of Ratings Goals of Recommendation Systems.html	11.3 KB
12. Video + Quiz Collaborative Filtering Content Based Recs.html	11.8 KB
06. Recommendations 1 6 11123244 V1-QlILlYuWF9U.en.vtt	12.2 KB
25. Quiz Recommendation Methods.html	12.4 KB
24. Text More Recommendation Technniques.html	12.6 KB
09. Recommendations 1 9 03362 V1-MwRSg5RASoc.en.vtt	13.8 KB
11. Intro To Collab Filtering-wGq7dUgJpsc.mp4	1.4 MB
04. Intro To MovieTweetings-cuXvLIkq_W8.mp4	2.3 MB
07. Knowledge Based Recommendations-C_vU1tjQHZI.mp4	2.8 MB
27. Goals Of Recommendation Systems-WzelOlFeDmU.mp4	3.1 MB
01. Intro-svCesgAQ46Q.mp4	3.4 MB
02. Identifying Recommendation Engines-KwegrgvV-V4.mp4	3.6 MB
29. Conclusion-zX5jZH2y8d8.mp4	3.7 MB
12. Types Of Collaborative Filtering-fZhkWHHP6SM.mp4	4.1 MB
20. Content Based Recommendations-pnGHpB77Mys.mp4	4.9 MB
23. Types Of Recommendations-uoXF81AO21E.mp4	5.0 MB
13. Measuring SImilarity-G_Y6IPmp7Xs.mp4	5.1 MB
15. Recommendations 1 14 7251010 V1-sVZ5S1nnRf8.mp4	5.2 MB
22. Recommendations 1 20 0425 V1-vPpX7ITgb3g.mp4	5.8 MB
19. Recommendations 1 17b 26423140 V1-uNQHtPrfi4o.mp4	6.0 MB
26. Types Of Ratings-fMjqe4sxBlQ.mp4	6.0 MB
16. Identifying Recommendations-P60qvS_OTMg.mp4	6.2 MB
18. Recommendations 1 17a 0422 V1-J4MOXJhMGGA.mp4	6.7 MB
19. Recommendations 1 17b 31423505 V1-A0uOjClDnW8.mp4	6.8 MB
10. More Personalized Recommendations-9l8mi7i6iW4.mp4	7.2 MB
22. Recommendations 1 20 4271048 V1-2On65U7Panw.mp4	7.4 MB
18. Recommendations 1 17b 5451216 V1-lf2Q0AE5esk.mp4	7.6 MB
18. Recommendations 1 17a 23313044 V1-pcaaBWbe34Y.mp4	8.2 MB
18. Recommendations 1 17b 15022032 V1-N9ytffw5AMg.mp4	8.3 MB
22. Recommendations 1 20 10491855 V1-BafXxtTuZgQ.mp4	8.5 MB
18. Recommendations 1 17a 4422330 V1-DJfwhP_vvh4.mp4	8.8 MB
22. Recommendations 1 20 10491855 V2-pjoxB00grHw.mp4	9.0 MB
19. Recommendations 1 17b 20332637 V1-UnDocJ9VUec.mp4	9.1 MB
15. Recommendations 1 14 012725 V1-Y1dN-mB39rM.mp4	9.2 MB
06. Recommendations 1 6 0950 V1-yrNZ0sQwNcs.mp4	9.3 MB
19. Recommendations 1 17b 36044330 V1-b5gFe8Ij-g0.mp4	9.4 MB
15. Recommendations 1 14 10131720 V1-DWHYK0XSI70.mp4	9.7 MB
09. Recommendations 1 9 33514421 V1-TCaeEdrbYRc.mp4	13.2 MB
06. Recommendations 1 6 11123244 V1-QlILlYuWF9U.mp4	18.8 MB
09. Recommendations 1 9 03362 V1-MwRSg5RASoc.mp4	21.1 MB
/Part 17-Module 03-Lesson 02_Matrix Factorization for Recommendations/
17. Funk SVD Review-nc3GMIrISHE.en.vtt	0.7 KB
23. Putting It All Together-r5jfD2uKnbQ.en.vtt	1.9 KB
26. Conclusion-R5-OYqKk9Ys.en.vtt	2.0 KB
20. The Cold Start Problem-DNz7aywJVzA.en.vtt	2.0 KB
07. Latent Factors-jZz7tFEF2Dc.en.vtt	2.2 KB
06. Why SVD-WdW1-rRQrLk.en.vtt	2.2 KB
11. Recommendations 2 10 0424 V1-x-End5px36M.en.vtt	2.4 KB
12. SVD Practice Takeaways-2er0HUDum7k.en.vtt	2.4 KB
03. How Do We Know Our Recs Are Good-D0H_fjJ35CU.en.vtt	3.2 KB
19. Recommendations 2 18 0435 V1-oRhrOShUM6w.en.vtt	3.8 KB
16. Recommendations 2 16 23242831 V1-WqNi0B_oRuA.en.vtt	5.0 KB
11. Recommendations 2 10 14502145 V1-cvQngTUOWbM.en.vtt	5.5 KB
index.html	6.0 KB
19. Recommendations 2 18 4381128 V1-B6bELCg6gMs.en.vtt	6.1 KB
14. 14 Funk SVD-H8gdwXy_npI.en.vtt	6.7 KB
09. SVD-t2XTuHq6-xc.en.vtt	6.8 KB
11. Recommendations 2 10 4321430 V1-zVGhBQNgbc4.en.vtt	7.3 KB
01. Video Intro.html	7.5 KB
26. Video Conclusion.html	7.6 KB
17. Video FunkSVD Review.html	7.6 KB
24. Screencast Code Walkthrough.html	7.7 KB
23. Video Putting It All Together.html	7.7 KB
12. Video SVD Practice Takeaways.html	8.3 KB
20. Video The Cold Start Problem.html	8.3 KB
10. Notebook SVD Practice.html	8.3 KB
18. Notebook How Are We Doing.html	8.3 KB
25. Workspace Recommender Module.html	8.3 KB
15. Notebook Implementing FunkSVD.html	8.3 KB
21. Notebook The Cold Start Problem.html	8.3 KB
02. Text What's Ahead.html	8.4 KB
22. Screencast The Cold Start Problem.html	8.5 KB
06. Video Why SVD.html	8.6 KB
16. Screencast Implementing FunkSVD.html	8.6 KB
07. Video Latent Factors.html	8.8 KB
24. Recommendations 2 25 V1-zgz5WYlI5fE.en.vtt	8.9 KB
19. Screencast How Are We Doing.html	9.0 KB
03. Video How Do We Know Our Recommendations Are Good.html	9.1 KB
11. Screencast SVD Practice Solution.html	9.1 KB
04. Text Validating Your Recommendations.html	9.8 KB
22. Recommendations 2 21a 18003113 V1-2M-WX2X2ts4.en.vtt	10.1 KB
08. Quiz Latent Factors.html	10.5 KB
27. Text Review.html	10.6 KB
16. Recommendations 2 16 1051320 V1-_4N6h82szWo.en.vtt	11.2 KB
13. Text SVD Closed Form Solution.html	12.2 KB
14. Video FunkSVD.html	12.4 KB
22. Recommendations 2 21a 01725 V1-UFmfDAiaOmw.en.vtt	12.5 KB
09. Video Singular Value Decomposition.html	12.7 KB
05. Quiz Regression Metrics.html	13.0 KB
17. Funk SVD Review-nc3GMIrISHE.mp4	1.9 MB
07. Latent Factors-jZz7tFEF2Dc.mp4	3.1 MB
01. Lesson Introduction-rw3YaQ2CTNQ.mp4	3.2 MB
11. Recommendations 2 10 0424 V1-x-End5px36M.mp4	3.7 MB
12. SVD Practice Takeaways-2er0HUDum7k.mp4	4.2 MB
26. Conclusion-R5-OYqKk9Ys.mp4	4.8 MB
03. How Do We Know Our Recs Are Good-D0H_fjJ35CU.mp4	5.2 MB
19. Recommendations 2 18 0435 V1-oRhrOShUM6w.mp4	5.2 MB
23. Putting It All Together-r5jfD2uKnbQ.mp4	5.6 MB
06. Why SVD-WdW1-rRQrLk.mp4	5.9 MB
20. The Cold Start Problem-DNz7aywJVzA.mp4	6.0 MB
16. Recommendations 2 16 23242831 V1-WqNi0B_oRuA.mp4	7.5 MB
19. Recommendations 2 18 4381128 V1-B6bELCg6gMs.mp4	8.9 MB
09. SVD-t2XTuHq6-xc.mp4	10.3 MB
11. Recommendations 2 10 14502145 V1-cvQngTUOWbM.mp4	10.8 MB
24. Recommendations 2 25 V1-zgz5WYlI5fE.mp4	11.0 MB
11. Recommendations 2 10 4321430 V1-zVGhBQNgbc4.mp4	11.1 MB
14. 14 Funk SVD-H8gdwXy_npI.mp4	11.2 MB
22. Recommendations 2 21a 18003113 V1-2M-WX2X2ts4.mp4	13.4 MB
19. Recommendations 2 18 11442204 V1-8kdRNQnqSGA.mp4	13.7 MB
22. Recommendations 2 21a 01725 V1-UFmfDAiaOmw.mp4	17.8 MB
16. Recommendations 2 16 1051320 V1-_4N6h82szWo.mp4	19.8 MB
/Part 12-Module 01-Lesson 15_Multiple Linear Regression/
26. Recap-VM6GGNC2q8I.zh-CN.vtt	0.7 KB
26. Recap-VM6GGNC2q8I.en.vtt	0.9 KB
26. Recap-VM6GGNC2q8I.pt-BR.vtt	1.0 KB
20. Interactions And Higher Order Terms-AOfXMiJgo48.zh-CN.vtt	1.0 KB
01. Introduction to Multiple Linear Regression-b26v8HK-8-o.zh-CN.vtt	1.2 KB
20. Interactions And Higher Order Terms-AOfXMiJgo48.en.vtt	1.3 KB
20. Interactions And Higher Order Terms-AOfXMiJgo48.pt-BR.vtt	1.4 KB
13. Dummy Variables Recap-r7Lek8rsIcg.zh-CN.vtt	1.4 KB
01. Introduction to Multiple Linear Regression-b26v8HK-8-o.en.vtt	1.4 KB
03. Fitting A Multiple Linear Regression Model-EZNvBF66_b0.zh-CN.vtt	1.5 KB
01. Introduction to Multiple Linear Regression-b26v8HK-8-o.pt-BR.vtt	1.5 KB
03. Fitting A Multiple Linear Regression Model-EZNvBF66_b0.pt-BR.vtt	1.6 KB
13. Dummy Variables Recap-r7Lek8rsIcg.en.vtt	1.7 KB
08. Dummy Variables--QTgDd-fZuA.zh-CN.vtt	1.7 KB
18. Multicollinearity VIFs-uiF3UcDWwPI.zh-CN.vtt	1.8 KB
03. Fitting A Multiple Linear Regression Model-EZNvBF66_b0.en.vtt	1.8 KB
13. Dummy Variables Recap-r7Lek8rsIcg.pt-BR.vtt	1.8 KB
15. Potential Problems-lGwB6YRThbI.zh-CN.vtt	2.0 KB
18. Multicollinearity VIFs-uiF3UcDWwPI.en.vtt	2.0 KB
08. Dummy Variables--QTgDd-fZuA.pt-BR.vtt	2.1 KB
08. Dummy Variables--QTgDd-fZuA.en.vtt	2.1 KB
18. Multicollinearity VIFs-uiF3UcDWwPI.pt-BR.vtt	2.2 KB
02. Multiple Linear Regression-rvYZp99nj6c.zh-CN.vtt	2.3 KB
15. Potential Problems-lGwB6YRThbI.en.vtt	2.4 KB
15. Potential Problems-lGwB6YRThbI.pt-BR.vtt	2.5 KB
06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.zh-CN.vtt	2.5 KB
23. Interpreting Interactions-XV6S2srsdxw.zh-CN.vtt	2.6 KB
02. Multiple Linear Regression-rvYZp99nj6c.pt-BR.vtt	2.7 KB
02. Multiple Linear Regression-rvYZp99nj6c.en.vtt	2.7 KB
06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.pt-BR.vtt	3.0 KB
06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.en.vtt	3.1 KB
23. Interpreting Interactions-XV6S2srsdxw.en.vtt	3.2 KB
23. Interpreting Interactions-XV6S2srsdxw.pt-BR.vtt	3.2 KB
22. Interactions Higher Order Terms-gMHwogzqPOk.zh-CN.vtt	3.8 KB
11. Dummy Variable Interpretation-TxP_TD0kbOo.zh-CN.vtt	3.9 KB
11. Dummy Variable Interpretation-TxP_TD0kbOo.pt-BR.vtt	4.3 KB
11. Dummy Variable Interpretation-TxP_TD0kbOo.en.vtt	4.4 KB
05. How Does MLR Work-bvM6eUYyurA.zh-CN.vtt	4.5 KB
22. Interactions Higher Order Terms-gMHwogzqPOk.en.vtt	4.6 KB
22. Interactions Higher Order Terms-gMHwogzqPOk.pt-BR.vtt	4.6 KB
17. Multicollinearity VIFs-wbtrXMusDe8.zh-CN.vtt	5.0 KB
05. How Does MLR Work-bvM6eUYyurA.pt-BR.vtt	5.2 KB
05. How Does MLR Work-bvM6eUYyurA.en.vtt	5.4 KB
17. Multicollinearity VIFs-wbtrXMusDe8.pt-BR.vtt	5.5 KB
17. Multicollinearity VIFs-wbtrXMusDe8.en.vtt	5.8 KB
index.html	6.3 KB
26. Video Recap.html	8.1 KB
15. Video Potential Problems.html	8.2 KB
23. Video Interpreting Interactions.html	8.2 KB
11. Screencast Dummy Variables.html	8.2 KB
20. Video Higher Order Terms.html	8.3 KB
22. Screencast How to Add Higher Order Terms.html	8.3 KB
03. Screencast Fitting A Multiple Linear Regression Model.html	8.4 KB
27. Text Recap.html	8.8 KB
13. Video Dummy Variables Recap.html	8.8 KB
17. Screencast Multicollinearity VIFs.html	9.1 KB
06. Video Multiple Linear Regression Model Results.html	9.3 KB
02. Video Multiple Linear Regression.html	9.4 KB
08. Video Dummy Variables.html	9.4 KB
09. Text Dummy Variables.html	9.5 KB
05. Screencast + Text How Does MLR Work.html	9.5 KB
01. Video Introduction.html	10.0 KB
18. Video Multicollinearity VIFs.html	10.5 KB
21. Text Higher Order Terms.html	11.1 KB
24. Text Interpreting Interactions.html	11.8 KB
10. Dummy Variables.html	13.0 KB
14. [Optional] Notebook + Quiz Other Encodings.html	13.4 KB
19. Notebook + Quiz Multicollinearity VIFs.html	14.0 KB
16. [Optional] Text Linear Model Assumptions.html	14.7 KB
07. Quiz Interpreting Coefficients in MLR.html	17.6 KB
25. Notebook + Quiz Interpreting Model Coefficients.html	17.9 KB
12. Notebook + Quiz Dummy Variables.html	18.8 KB
04. Notebook + Quiz Fitting A MLR Model.html	19.1 KB
26. Recap-VM6GGNC2q8I.mp4	4.8 MB
03. Fitting A Multiple Linear Regression Model-EZNvBF66_b0.mp4	5.0 MB
20. Interactions And Higher Order Terms-AOfXMiJgo48.mp4	8.7 MB
13. Dummy Variables Recap-r7Lek8rsIcg.mp4	10.6 MB
01. Introduction to Multiple Linear Regression-b26v8HK-8-o.mp4	10.6 MB
23. Interpreting Interactions-XV6S2srsdxw.mp4	10.9 MB
18. Multicollinearity VIFs-uiF3UcDWwPI.mp4	11.9 MB
11. Dummy Variable Interpretation-TxP_TD0kbOo.mp4	14.0 MB
02. Multiple Linear Regression-rvYZp99nj6c.mp4	14.5 MB
15. Potential Problems-lGwB6YRThbI.mp4	15.1 MB
08. Dummy Variables--QTgDd-fZuA.mp4	17.0 MB
06. Interpreting Multiplie Linear Regression Coefficients-qRD3OVX8UMM.mp4	18.1 MB
22. Interactions Higher Order Terms-gMHwogzqPOk.mp4	18.1 MB
17. Multicollinearity VIFs-wbtrXMusDe8.mp4	18.4 MB
05. How Does MLR Work-bvM6eUYyurA.mp4	19.3 MB
/Part 12-Module 01-Lesson 11_Confidence Intervals/
16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.zh-CN.vtt	0.7 KB
16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.en.vtt	0.9 KB
16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.pt-BR.vtt	1.0 KB
07. Confidence Intervals Applications-C0wgmeRx9yE.zh-CN.vtt	1.3 KB
01. Confidence Intervals Introduction-crleT4000ak.zh-CN.vtt	1.4 KB
10. Traditional Confidence Interval Methods-DmZwYHuz2eM.zh-CN.vtt	1.4 KB
14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.zh-CN.vtt	1.4 KB
07. Confidence Intervals Applications-C0wgmeRx9yE.en.vtt	1.6 KB
14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.pt-BR.vtt	1.6 KB
14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.en.vtt	1.6 KB
07. Confidence Intervals Applications-C0wgmeRx9yE.pt-BR.vtt	1.7 KB
10. Traditional Confidence Interval Methods-DmZwYHuz2eM.en.vtt	1.7 KB
01. Confidence Intervals Introduction-crleT4000ak.en.vtt	1.7 KB
12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.zh-CN.vtt	1.8 KB
01. Confidence Intervals Introduction-crleT4000ak.pt-BR.vtt	1.8 KB
05. Confidence Interval for a Difference In Means-8hrWGzjyhck.zh-CN.vtt	1.8 KB
10. Traditional Confidence Interval Methods-DmZwYHuz2eM.pt-BR.vtt	1.9 KB
02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.zh-CN.vtt	1.9 KB
05. Confidence Interval for a Difference In Means-8hrWGzjyhck.pt-BR.vtt	2.1 KB
12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.pt-BR.vtt	2.2 KB
05. Confidence Interval for a Difference In Means-8hrWGzjyhck.en.vtt	2.2 KB
12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.en.vtt	2.3 KB
02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.en.vtt	2.3 KB
03. Sampling Distributions Confidence Intervals-gICzUhMVymo.zh-CN.vtt	2.4 KB
02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.pt-BR.vtt	2.5 KB
03. Sampling Distributions Confidence Intervals-gICzUhMVymo.pt-BR.vtt	2.6 KB
08. Statistical vs. Practical Differences-RKHD1wzxxPA.zh-CN.vtt	2.7 KB
11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.zh-CN.vtt	2.8 KB
03. Sampling Distributions Confidence Intervals-gICzUhMVymo.en.vtt	2.8 KB
11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.pt-BR.vtt	3.1 KB
08. Statistical vs. Practical Differences-RKHD1wzxxPA.en.vtt	3.2 KB
11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.en.vtt	3.4 KB
08. Statistical vs. Practical Differences-RKHD1wzxxPA.pt-BR.vtt	3.4 KB
index.html	5.7 KB
01. Video Introduction.html	7.4 KB
16. Video Confidence Intervals Hypothesis Tests.html	7.5 KB
07. Video Confidence Interval Applications.html	8.0 KB
11. ScreenCast Traditional Confidence Interval Methods.html	8.2 KB
03. ScreenCast Sampling Distributions and Confidence Intervals.html	8.2 KB
08. Video Statistical vs. Practical Significance.html	8.3 KB
14. Video Correct Interpretations of Confidence Intervals.html	8.3 KB
09. Statistical vs. Practical Significance.html	8.3 KB
02. Video From Sampling Distributions to Confidence Intervals.html	8.4 KB
12. Video Other Language Associated with Confidence Intervals.html	8.5 KB
05. ScreenCast Difference In Means.html	8.5 KB
10. Video Traditional Confidence Intervals.html	9.1 KB
15. Correct Interpretations of Confidence Intervals.html	9.5 KB
13. Other Language Associated with Confidence Intervals.html	10.8 KB
17. Text Recap + Next Steps.html	11.2 KB
06. Notebook + Quiz Difference in Means.html	16.4 KB
04. Notebook + Quiz Building Confidence Intervals.html	16.6 KB
05. Confidence Interval for a Difference In Means-8hrWGzjyhck.mp4	2.3 MB
01. Confidence Intervals Introduction-crleT4000ak.mp4	2.9 MB
14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.mp4	3.5 MB
16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.mp4	3.9 MB
03. Sampling Distributions Confidence Intervals-gICzUhMVymo.mp4	3.9 MB
11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.mp4	4.1 MB
02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.mp4	4.9 MB
07. Confidence Intervals Applications-C0wgmeRx9yE.mp4	6.4 MB
12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.mp4	6.6 MB
10. Traditional Confidence Interval Methods-DmZwYHuz2eM.mp4	8.3 MB
08. Statistical vs. Practical Differences-RKHD1wzxxPA.mp4	8.7 MB
/Part 06-Module 01-Lesson 01_Why Python Programming/
02. L1 01 Intro V3-yyNtiUyI5Tw.zh-CN.vtt	0.7 KB
02. L1 01 Intro V3-yyNtiUyI5Tw.en.vtt	0.8 KB
02. L1 01 Intro V3-yyNtiUyI5Tw.pt-BR.vtt	1.0 KB
02. L1 01 Intro V3-yyNtiUyI5Tw.ar.vtt	1.0 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.zh-CN.vtt	1.1 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.en.vtt	1.2 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.pt-BR.vtt	1.4 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.ar.vtt	1.7 KB
04. L1 02 Course Overview V4-vFxXSIV5cHM.zh-CN.vtt	2.2 KB
04. L1 02 Course Overview V4-vFxXSIV5cHM.en.vtt	2.5 KB
04. L1 02 Course Overview V4-vFxXSIV5cHM.pt-BR.vtt	2.9 KB
04. L1 02 Course Overview V4-vFxXSIV5cHM.ar.vtt	3.5 KB
index.html	3.8 KB
01. Instructor.html	5.3 KB
03. Programming in Python.html	5.7 KB
02. Welcome to the Course!.html	6.0 KB
04. Course Overview.html	6.6 KB
03. L1 03 Programming In Python V4-O1cTNYAjeeg.mp4	4.2 MB
02. L1 01 Intro V3-yyNtiUyI5Tw.mp4	5.5 MB
04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4	8.8 MB
/Part 08-Module 01-Lesson 07_Visualization Case Study/
01. L7 011 Intro V1-Virihwp36do.pt-BR.vtt	0.8 KB
07. L7 0F1 Congrats V3-LF-obnL7CI0.pt-BR.vtt	0.9 KB
index.html	4.1 KB
01. Introduction.html	5.2 KB
07. Conclusion.html	5.2 KB
06. Explanatory Polishing.html	5.9 KB
04. Bivariate Exploration.html	5.9 KB
03. Univariate Exploration.html	5.9 KB
05. Multivariate Exploration.html	5.9 KB
02. Info on the Diamond Dataset.html	7.2 KB
01. L7 011 Intro V1-Virihwp36do.mp4	1.5 MB
07. L7 0F1 Congrats V3-LF-obnL7CI0.mp4	2.9 MB
/Part 07-Module 01-Lesson 02_SQL Joins/
02. Why Not Store Everything in One Table-rvY4A6FpS40.zh-CN.vtt	0.8 KB
02. Why Not Store Everything in One Table-rvY4A6FpS40.pt-BR.vtt	0.8 KB
02. Why Not Store Everything in One Table-rvY4A6FpS40.en.vtt	0.9 KB
10. ALIAS-viWHJaxWTvw.zh-CN.vtt	1.1 KB
10. ALIAS-viWHJaxWTvw.pt-BR.vtt	1.1 KB
02. Why Not Store Everything in One Table-rvY4A6FpS40.ar.vtt	1.1 KB
10. ALIAS-viWHJaxWTvw.en.vtt	1.2 KB
01. Introduction to JOINs-YvZ010GU-Ck.zh-CN.vtt	1.4 KB
01. Introduction to JOINs-YvZ010GU-Ck.en.vtt	1.7 KB
13. Motivation for Other JOINs-3qdv1Ojc9Og.pt-BR.vtt	1.7 KB
13. Motivation for Other JOINs-3qdv1Ojc9Og.zh-CN.vtt	1.7 KB
01. Introduction to JOINs-YvZ010GU-Ck.pt-BR.vtt	1.8 KB
03. Your First JOIN-HkX9fkNRbU8.pt-BR.vtt	1.9 KB
10. ALIAS-viWHJaxWTvw.ar.vtt	1.9 KB
03. Your First JOIN-HkX9fkNRbU8.zh-CN.vtt	1.9 KB
13. Motivation for Other JOINs-3qdv1Ojc9Og.en.vtt	1.9 KB
14. JOINs-CxuHtd1Daqk.zh-CN.vtt	2.1 KB
03. Your First JOIN-HkX9fkNRbU8.en.vtt	2.1 KB
14. JOINs-CxuHtd1Daqk.en.vtt	2.4 KB
14. JOINs-CxuHtd1Daqk.pt-BR.vtt	2.5 KB
01. Introduction to JOINs-YvZ010GU-Ck.ar.vtt	2.5 KB
03. Your First JOIN-HkX9fkNRbU8.ar.vtt	2.6 KB
02. Why Use Separate Tables-UIQBtpmqYOs.zh-CN.vtt	2.6 KB
13. Motivation for Other JOINs-3qdv1Ojc9Og.ar.vtt	2.7 KB
02. Why Use Separate Tables-UIQBtpmqYOs.en.vtt	3.1 KB
18. JOINs and Filtering-aI1kbDDNs4w.pt-BR.vtt	3.2 KB
14. JOINs-CxuHtd1Daqk.ar.vtt	3.2 KB
18. JOINs and Filtering-aI1kbDDNs4w.zh-CN.vtt	3.3 KB
02. Why Use Separate Tables-UIQBtpmqYOs.pt-BR.vtt	3.3 KB
18. JOINs and Filtering-aI1kbDDNs4w.en.vtt	3.6 KB
14. Other JOINs-4edRxFmWUEw.zh-CN.vtt	3.9 KB
14. Other JOINs-4edRxFmWUEw.pt-BR.vtt	3.9 KB
02. Why Use Separate Tables-UIQBtpmqYOs.ar.vtt	4.3 KB
14. Other JOINs-4edRxFmWUEw.en.vtt	4.4 KB
18. JOINs and Filtering-aI1kbDDNs4w.ar.vtt	5.1 KB
index.html	5.4 KB
14. Other JOINs-4edRxFmWUEw.ar.vtt	6.1 KB
01. Video Motivation.html	7.3 KB
03. Video Introduction to JOINs.html	7.9 KB
18. Video JOINs and Filtering.html	8.0 KB
13. Video Motivation for Other JOINs.html	8.3 KB
05. Solution Your First JOIN.html	8.4 KB
15. Text Other JOIN Notes.html	8.5 KB
07. Text Primary and Foreign Keys.html	8.7 KB
10. Video Alias.html	9.0 KB
14. Video LEFT and RIGHT JOINs.html	9.3 KB
12. Solutions JOIN Questions Part I.html	9.7 KB
21. Text Recap Looking Ahead.html	9.8 KB
02. Video Why Would We Want to Split Data Into Separate Tables.html	9.8 KB
06. Text ERD Reminder.html	9.9 KB
09. Text + Quiz JOIN Revisited.html	11.2 KB
04. Text + Quiz Your First JOIN.html	12.4 KB
19. Quiz Last Check.html	12.7 KB
11. Quiz JOIN Questions Part I.html	13.2 KB
20. Solutions Last Check.html	13.6 KB
17. Solutions LEFT and RIGHT JOIN .html	13.8 KB
08. Quiz Primary - Foreign Key Relationship.html	13.8 KB
16. LEFT and RIGHT JOIN.html	18.2 KB
02. Why Not Store Everything in One Table-rvY4A6FpS40.mp4	884.0 KB
10. ALIAS-viWHJaxWTvw.mp4	1.3 MB
03. Your First JOIN-HkX9fkNRbU8.mp4	2.2 MB
14. JOINs-CxuHtd1Daqk.mp4	3.2 MB
02. Why Use Separate Tables-UIQBtpmqYOs.mp4	4.1 MB
01. Introduction to JOINs-YvZ010GU-Ck.mp4	4.4 MB
13. Motivation for Other JOINs-3qdv1Ojc9Og.mp4	5.6 MB
18. JOINs and Filtering-aI1kbDDNs4w.mp4	6.2 MB
14. Other JOINs-4edRxFmWUEw.mp4	7.9 MB
/Part 04-Module 01-Lesson 02_Hierarchical and Density Based Clustering/
12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.zh-CN.vtt	0.8 KB
12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.pt-BR.vtt	0.8 KB
12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.en.vtt	0.8 KB
02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.zh-CN.vtt	1.0 KB
02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.en.vtt	1.2 KB
02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.pt-BR.vtt	1.2 KB
06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.pt-BR.vtt	1.7 KB
09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.zh-CN.vtt	1.7 KB
06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.zh-CN.vtt	1.7 KB
06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.en.vtt	1.8 KB
09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.en.vtt	2.0 KB
09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.pt-BR.vtt	2.0 KB
15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.zh-CN.vtt	4.1 KB
15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.pt-BR.vtt	4.5 KB
15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.en.vtt	4.6 KB
01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.pt-BR.vtt	4.7 KB
01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.zh-CN.vtt	4.8 KB
index.html	5.0 KB
01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.en.vtt	5.1 KB
03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.zh-CN.vtt	5.5 KB
04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.pt-BR.vtt	5.5 KB
03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.pt-BR.vtt	5.6 KB
04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.zh-CN.vtt	5.8 KB
11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.pt-BR.vtt	5.9 KB
11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.zh-CN.vtt	6.3 KB
03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.en.vtt	6.3 KB
04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.en.vtt	6.3 KB
11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.en.vtt	6.7 KB
01. K-means considerations.html	6.7 KB
02. Overview of other clustering methods.html	6.8 KB
03. Hierarchical clustering single-link.html	6.8 KB
12. DBSCAN implementation.html	6.9 KB
05. Complete-link, average-link, Ward.html	7.0 KB
04. Examining single-link clustering.html	7.0 KB
06. Hierarchical clustering implementation.html	7.0 KB
13. [Lab] DBSCAN.html	7.0 KB
14. [Lab Solution] DBSCAN.html	7.0 KB
07. [Lab] Hierarchical clustering .html	7.1 KB
08. [Lab Solution] Hierarchical Clustering.html	7.1 KB
11. DBSCAN.html	7.2 KB
05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.zh-CN.vtt	7.3 KB
15. DBSCAN examples applications.html	7.4 KB
09. HC examples and applications.html	7.5 KB
05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.pt-BR.vtt	7.8 KB
05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.en.vtt	8.1 KB
16. [Quiz] DBSCAN.html	8.3 KB
10. [Quiz] Hierarchical clustering.html	8.4 KB
02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.mp4	3.2 MB
12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.mp4	3.8 MB
06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.mp4	7.8 MB
09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.mp4	9.6 MB
01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.mp4	16.2 MB
15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.mp4	18.6 MB
03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.mp4	19.0 MB
11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.mp4	20.9 MB
05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.mp4	23.6 MB
04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.mp4	24.5 MB
/Part 02-Module 01-Lesson 02_Linear Regression/
17. Absolute Vs Squared Error-csvdjaqt1GM.pt-BR.vtt	0.8 KB
17. Absolute Vs Squared Error-csvdjaqt1GM.en.vtt	0.8 KB
03. Solution Housing Prices-uhdTulw9-Nc.en.vtt	0.9 KB
17. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.pt-BR.vtt	1.0 KB
17. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.pt-BR.vtt	1.0 KB
17. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.en.vtt	1.0 KB
17. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.en.vtt	1.0 KB
03. Solution Housing Prices-uhdTulw9-Nc.pt-BR.vtt	1.0 KB
05. Moving A Line-8EIHFyL2Log.pt-BR.vtt	1.1 KB
01. Welcome To Linear Regression-zxZkTkM34BY.en.vtt	1.2 KB
05. Moving A Line-8EIHFyL2Log.en.vtt	1.2 KB
24. Polynomial Regression-DBhWG-PagEQ.pt-BR.vtt	1.2 KB
01. Welcome To Linear Regression-zxZkTkM34BY.pt-BR.vtt	1.2 KB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.zh-CN.vtt	1.3 KB
24. Polynomial Regression-DBhWG-PagEQ.en.vtt	1.3 KB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.en.vtt	1.4 KB
04. Fitting A Line-gkdoknEEcaI.en.vtt	1.4 KB
04. Fitting A Line-gkdoknEEcaI.pt-BR.vtt	1.5 KB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.pt-BR.vtt	1.5 KB
11. Mean Squared Error-MRyxmZDngI4.pt-BR.vtt	2.3 KB
11. Mean Squared Error-MRyxmZDngI4.en.vtt	2.6 KB
19. Higher Dimensions--UvpQV1qmiE.pt-BR.vtt	2.8 KB
19. Higher Dimensions--UvpQV1qmiE.en.vtt	3.0 KB
10. Mean Absolute Error-vLKiY0Ehors.pt-BR.vtt	3.4 KB
21. Closed Form Solution-G3fRVgLa5gI.pt-BR.vtt	3.5 KB
10. Mean Absolute Error-vLKiY0Ehors.en.vtt	3.6 KB
21. Closed Form Solution-G3fRVgLa5gI.en.vtt	3.6 KB
07. Square Trick-AGZEq-yQgRM.pt-BR.vtt	3.9 KB
07. Square Trick-AGZEq-yQgRM.en.vtt	4.0 KB
13. Minimizing Error Functions-RbT2TXN_6tY.en.vtt	4.6 KB
13. Minimizing Error Functions-RbT2TXN_6tY.pt-BR.vtt	4.7 KB
09. Gradient Descent-4s4x9h6AN5Y.pt-BR.vtt	5.4 KB
09. Gradient Descent-4s4x9h6AN5Y.en.vtt	5.7 KB
index.html	5.9 KB
06. Absolute Trick-DJWjBAqSkZw.pt-BR.vtt	6.6 KB
06. Absolute Trick-DJWjBAqSkZw.en.vtt	6.7 KB
07. Square Trick.html	7.7 KB
05. Moving a Line.html	7.7 KB
06. Absolute Trick.html	7.7 KB
26. Regularization.html	7.7 KB
09. Gradient Descent.html	7.7 KB
19. Higher Dimensions.html	7.7 KB
11. Mean Squared Error.html	7.7 KB
04. Fitting a Line Through Data.html	7.7 KB
10. Mean Absolute Error.html	7.7 KB
01. Intro.html	7.8 KB
24. Polynomial Regression.html	7.8 KB
03. Solution Housing Prices.html	7.8 KB
21. Closed Form Solution.html	7.9 KB
12. Quiz Mean Absolute Squared Errors.html	8.1 KB
29. Outro.html	8.3 KB
14. Mean vs Total Error.html	9.1 KB
02. Quiz Housing Prices.html	9.1 KB
15. Mini-batch Gradient Descent.html	9.4 KB
08. Quiz Absolute and Square Trick.html	9.5 KB
23. Linear Regression Warnings.html	9.7 KB
13. Minimizing Error Functions.html	9.8 KB
26. Regularization-PyFNIcsNma0.pt-BR.vtt	10.6 KB
26. Regularization-PyFNIcsNma0.en.vtt	11.1 KB
17. Absolute Error vs Squared Error.html	11.5 KB
25. Quiz Polynomial Regression.html	13.5 KB
20. Multiple Linear Regression.html	14.2 KB
16. Quiz Mini-Batch Gradient Descent.html	14.8 KB
22. (Optional) Closed form Solution Math.html	15.3 KB
18. Linear Regression in scikit-learn.html	17.8 KB
27. Quiz Regularization.html	19.4 KB
28. Feature Scaling.html	25.1 KB
17. Absolute Vs Squared Error-csvdjaqt1GM.mp4	676.1 KB
17. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.mp4	709.4 KB
17. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.mp4	894.1 KB
05. Moving A Line-8EIHFyL2Log.mp4	1.0 MB
24. Polynomial Regression-DBhWG-PagEQ.mp4	1.0 MB
03. Solution Housing Prices-uhdTulw9-Nc.mp4	1.0 MB
04. Fitting A Line-gkdoknEEcaI.mp4	1.2 MB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp4	1.6 MB
11. Mean Squared Error-MRyxmZDngI4.mp4	1.9 MB
10. Mean Absolute Error-vLKiY0Ehors.mp4	2.7 MB
19. Higher Dimensions--UvpQV1qmiE.mp4	2.8 MB
21. Closed Form Solution-G3fRVgLa5gI.mp4	3.0 MB
07. Square Trick-AGZEq-yQgRM.mp4	3.4 MB
13. Minimizing Error Functions-RbT2TXN_6tY.mp4	4.0 MB
01. Welcome To Linear Regression-zxZkTkM34BY.mp4	4.1 MB
09. Gradient Descent-4s4x9h6AN5Y.mp4	4.5 MB
06. Absolute Trick-DJWjBAqSkZw.mp4	5.4 MB
26. Regularization-PyFNIcsNma0.mp4	9.2 MB
/Part 16-Module 01-Lesson 04_Machine Learning Pipelines/
01. 01 Intro V1 V3-Zl_es7xtSqk.en.vtt	0.8 KB
23. 24 Conclusion V1 V2-Jq6pj_uKDmY.en.vtt	0.9 KB
05. Machine Learning Workflow-0nA6oTIlwaA.en.vtt	0.9 KB
05. Machine Learning Workflow-0nA6oTIlwaA.pt-BR.vtt	1.0 KB
23. 24 Conclusion V1 V2-Jq6pj_uKDmY.pt-BR.vtt	1.1 KB
01. 01 Intro V1 V3-Zl_es7xtSqk.pt-BR.vtt	1.1 KB
19. 15 Pipelines And Grid Search V1 V3-HZaOiSxJjCY.en.vtt	1.6 KB
09. 08 1 Advantages Of Using Pipeline V1 V2-ASYcx911E2Q.en.vtt	1.6 KB
12. 12 Pipelines And Feature Unions V1 V3-zduxy0g23L0.en.vtt	1.8 KB
09. 08 1 Advantages Of Using Pipeline V1 V2-ASYcx911E2Q.pt-BR.vtt	2.0 KB
19. 15 Pipelines And Grid Search V1 V3-HZaOiSxJjCY.pt-BR.vtt	2.1 KB
12. 12 Pipelines And Feature Unions V1 V3-zduxy0g23L0.pt-BR.vtt	2.1 KB
09. 08 2 Advantages Of Using Pipelines V1 V2-eT1MS3n8fZ8.en.vtt	2.1 KB
09. 08 2 Advantages Of Using Pipelines V1 V2-eT1MS3n8fZ8.pt-BR.vtt	2.5 KB
16. Creating Custom Transformers-TBxUCQdXRjY.en.vtt	2.5 KB
02. Corporate Messaging Case Study-xnDsUsrF884.en.vtt	2.6 KB
16. Creating Custom Transformers-TBxUCQdXRjY.pt-BR.vtt	2.9 KB
02. Corporate Messaging Case Study-xnDsUsrF884.pt-BR.vtt	3.1 KB
20. Using Grid Search-iTL43Jk9_bQ.en.vtt	3.4 KB
13. Using Feature Unions-QmE6CMGar1U.en.vtt	3.5 KB
13. Using Feature Unions-QmE6CMGar1U.pt-BR.vtt	3.9 KB
20. Using Grid Search-iTL43Jk9_bQ.pt-BR.vtt	3.9 KB
08. Using Pipelines-mxFrS8qpZ6Y.en.vtt	4.5 KB
08. Using Pipelines-mxFrS8qpZ6Y.pt-BR.vtt	4.9 KB
index.html	5.7 KB
23. Conclusion.html	7.4 KB
05. Machine Learning Workflow.html	7.5 KB
01. Introduction.html	7.7 KB
10. Case Study Build Pipeline.html	7.9 KB
14. Case Study Add Feature Union.html	7.9 KB
03. Case Study Clean and Tokenize.html	7.9 KB
21. Case Study Grid Search Pipeline.html	7.9 KB
17. Case Study Create Custom Transformer.html	7.9 KB
06. Case Study Machine Learning Workflow.html	7.9 KB
02. Corporate Messaging Case Study.html	8.0 KB
12. Pipelines and Feature Unions.html	8.3 KB
19. Pipelines and Grid Search.html	8.6 KB
11. Solution Build Pipeline.html	9.3 KB
07. Solution Machine Learning Workflow.html	9.4 KB
04. Solution Clean and Tokenize.html	9.5 KB
15. Solution Add Feature Union.html	9.6 KB
18. Solution Create Custom Transformer.html	10.2 KB
09. Advantages of Using Pipeline.html	10.7 KB
22. Solution Grid Search Pipeline.html	11.0 KB
20. Using Grid Search with Pipelines.html	11.2 KB
16. Creating Custom Transformers.html	11.5 KB
08. Using Pipeline.html	12.2 KB
13. Using Feature Union.html	12.5 KB
05. Machine Learning Workflow-0nA6oTIlwaA.mp4	1.3 MB
01. 01 Intro V1 V3-Zl_es7xtSqk.mp4	3.0 MB
20. Using Grid Search-iTL43Jk9_bQ.mp4	3.2 MB
12. 12 Pipelines And Feature Unions V1 V3-zduxy0g23L0.mp4	3.2 MB
23. 24 Conclusion V1 V2-Jq6pj_uKDmY.mp4	3.4 MB
16. Creating Custom Transformers-TBxUCQdXRjY.mp4	3.7 MB
13. Using Feature Unions-QmE6CMGar1U.mp4	4.8 MB
02. Corporate Messaging Case Study-xnDsUsrF884.mp4	4.9 MB
09. 08 1 Advantages Of Using Pipeline V1 V2-ASYcx911E2Q.mp4	5.7 MB
08. Using Pipelines-mxFrS8qpZ6Y.mp4	6.0 MB
19. 15 Pipelines And Grid Search V1 V3-HZaOiSxJjCY.mp4	6.0 MB
09. 08 2 Advantages Of Using Pipelines V1 V2-eT1MS3n8fZ8.mp4	7.4 MB
/Part 15-Module 01-Lesson 02_Software Engineering Practices Pt I/
25. L2 21 Conclusion V1 V1-anPnokWZOZQ.en.vtt	0.8 KB
20. L2 17 Version Control In Data Science V1 V1-EQzrLC88Bzk.en.vtt	0.9 KB
25. L2 21 Conclusion V1 V1-anPnokWZOZQ.pt-BR.vtt	1.0 KB
20. L2 17 Version Control In Data Science V1 V1-EQzrLC88Bzk.pt-BR.vtt	1.0 KB
01. L2 01 Intro V1 V1-z7v7oa--W48.en.vtt	1.2 KB
01. L2 01 Intro V1 V1-z7v7oa--W48.pt-BR.vtt	1.4 KB
15. L2 10 Documentation V1 V3-M45B2VbPgjo.en.vtt	1.6 KB
23. L2 18 Version Control Merging Branches On A Team V1 V2-36DOnNzvT4A.en.vtt	1.6 KB
22. L2 18 Version Control Git Commit Messages V1 V2-w1iHWpwOkMg.en.vtt	1.7 KB
17. 05 Docstrings V1-_gapemxsRJY.en.vtt	1.8 KB
15. L2 10 Documentation V1 V3-M45B2VbPgjo.pt-BR.vtt	1.8 KB
23. L2 18 Version Control Merging Branches On A Team V1 V2-36DOnNzvT4A.pt-BR.vtt	1.9 KB
22. L2 18 Version Control Git Commit Messages V1 V2-w1iHWpwOkMg.pt-BR.vtt	2.0 KB
17. 05 Docstrings V1-_gapemxsRJY.pt-BR.vtt	2.0 KB
09. L2 06 Efficient Code V1 V2-LbtxY7xetBw.en.vtt	2.1 KB
16. 04 Inline Comments V1--G6yg3Xhl8I.en.vtt	2.4 KB
09. L2 06 Efficient Code V1 V2-LbtxY7xetBw.pt-BR.vtt	2.5 KB
03. L2 03 Clean Mod Code Vid 2 V1 V1-9bxtHpPvXE0.en.vtt	2.5 KB
03. L2 03 Clean Mod Code Vid 2 V1 V1-9bxtHpPvXE0.pt-BR.vtt	2.8 KB
16. 04 Inline Comments V1--G6yg3Xhl8I.pt-BR.vtt	2.9 KB
21. L2 18 Version Control Git Branches V1 V2-C92YcuwjZOs.en.vtt	3.8 KB
21. L2 18 Version Control Git Branches V1 V2-C92YcuwjZOs.pt-BR.vtt	4.4 KB
10. 03 Optimizing Common Books V1-WF9n_19V08g.en.vtt	5.0 KB
02. L2 02 Clean Mod Code Vid 1 V1 V2-RjHV8kRpVbA.en.vtt	5.2 KB
index.html	5.6 KB
02. L2 02 Clean Mod Code Vid 1 V1 V2-RjHV8kRpVbA.pt-BR.vtt	5.6 KB
10. 03 Optimizing Common Books V1-WF9n_19V08g.pt-BR.vtt	5.7 KB
04. 01 Writing Clean Code V1-wNaiahWCwkQ.en.vtt	6.9 KB
25. Conclusion.html	7.4 KB
10. Optimizing - Common Books.html	7.6 KB
04. 01 Writing Clean Code V1-wNaiahWCwkQ.pt-BR.vtt	7.7 KB
20. Version Control in Data Science.html	7.7 KB
11. Quiz Optimizing - Common Books.html	7.8 KB
06. 02 Writing Modular Code V2-qN6EOyNlSnk.en.vtt	7.8 KB
13. Quiz Optimizing - Holiday Gifts.html	7.8 KB
07. Quiz Refactoring - Wine Quality.html	7.8 KB
12. Solution Optimizing - Common Books.html	7.8 KB
08. Solution Refactoring - Wine Quality.html	7.8 KB
14. Solution Optimizing - Holiday Gifts.html	7.8 KB
01. Introduction.html	7.9 KB
09. Efficient Code.html	7.9 KB
24. Model Versioning.html	8.0 KB
15. Documentation.html	8.0 KB
03. Refactoring Code.html	8.2 KB
16. In-line Comments.html	8.3 KB
18. Project Documentation.html	8.5 KB
06. 02 Writing Modular Code V2-qN6EOyNlSnk.pt-BR.vtt	8.7 KB
22. Scenario #2.html	9.1 KB
17. Docstrings.html	9.3 KB
19. Documentation.html	9.7 KB
06. Writing Modular Code.html	9.9 KB
04. Writing Clean Code.html	10.1 KB
02. Clean and Modular Code.html	10.9 KB
23. Scenario #3.html	11.4 KB
05. Quiz Clean Code.html	11.5 KB
21. Scenario #1.html	11.7 KB
17. 05 Docstrings V1-_gapemxsRJY.mp4	1.7 MB
22. L2 18 Version Control Git Commit Messages V1 V2-w1iHWpwOkMg.mp4	2.0 MB
25. L2 21 Conclusion V1 V1-anPnokWZOZQ.mp4	3.0 MB
20. L2 17 Version Control In Data Science V1 V1-EQzrLC88Bzk.mp4	3.1 MB
23. L2 18 Version Control Merging Branches On A Team V1 V2-36DOnNzvT4A.mp4	3.2 MB
16. 04 Inline Comments V1--G6yg3Xhl8I.mp4	3.7 MB
21. L2 18 Version Control Git Branches V1 V2-C92YcuwjZOs.mp4	4.1 MB
15. L2 10 Documentation V1 V3-M45B2VbPgjo.mp4	4.6 MB
01. L2 01 Intro V1 V1-z7v7oa--W48.mp4	5.9 MB
06. 02 Writing Modular Code V2-qN6EOyNlSnk.mp4	8.0 MB
10. 03 Optimizing Common Books V1-WF9n_19V08g.mp4	8.5 MB
04. 01 Writing Clean Code V1-wNaiahWCwkQ.mp4	8.6 MB
09. L2 06 Efficient Code V1 V2-LbtxY7xetBw.mp4	8.8 MB
03. L2 03 Clean Mod Code Vid 2 V1 V1-9bxtHpPvXE0.mp4	10.1 MB
02. L2 02 Clean Mod Code Vid 1 V1 V2-RjHV8kRpVbA.mp4	10.3 MB
/Part 04-Module 01-Lesson 04_PCA/
21. Outro-CuIqzL8HjI8.en.vtt	0.8 KB
21. Outro-CuIqzL8HjI8.pt-BR.vtt	0.9 KB
04. Latent Features-kYLcVgpEwGs.en.vtt	0.9 KB
17. When to Use PCA-arSP83-CM6w.en.vtt	1.3 KB
02. Lesson Topics-LBzA08F_r4w.en.vtt	1.3 KB
18. 17 PCA Recap V1-Egz3-noHCmg.en.vtt	1.4 KB
02. Lesson Topics-LBzA08F_r4w.pt-BR.vtt	1.4 KB
04. Latent Features-kYLcVgpEwGs.pt-BR.vtt	1.4 KB
17. When to Use PCA-arSP83-CM6w.pt-BR.vtt	1.5 KB
18. 17 PCA Recap V1-Egz3-noHCmg.pt-BR.vtt	1.5 KB
01. Introduction-tpFPcxoGxaE.pt-BR.vtt	1.8 KB
06. How to Reduce Features-ydhrelgjriI.pt-BR.vtt	1.9 KB
06. How to Reduce Features-ydhrelgjriI.en.vtt	1.9 KB
01. Introduction-tpFPcxoGxaE.en.vtt	1.9 KB
07. Dimensionality Reduction-mANti9veGtc.en.vtt	2.4 KB
07. Dimensionality Reduction-mANti9veGtc.pt-BR.vtt	2.5 KB
08. PCA Properties-1oaaq-0wdB0.en.vtt	3.1 KB
08. PCA Properties-1oaaq-0wdB0.pt-BR.vtt	3.2 KB
13. 12 Interpret PCA Results V1-ZX6EACfsZbc.pt-BR.vtt	4.7 KB
13. 12 Interpret PCA Results V1-ZX6EACfsZbc.en.vtt	4.8 KB
index.html	5.3 KB
15. 14 Interpretation Solution V1-wU2duZa0ds0.pt-BR.vtt	6.5 KB
15. 14 Interpretation Solution V1-wU2duZa0ds0.en.vtt	6.6 KB
21. Video Outro.html	6.9 KB
18. Video Recap.html	7.0 KB
01. Video Introduction.html	7.4 KB
06. Video How to Reduce Features.html	7.4 KB
20. Mini-Project Solution.html	7.5 KB
19. Notebook Mini-Project.html	7.5 KB
14. Notebook Interpretation.html	7.5 KB
11. Notebook PCA - Your Turn.html	7.5 KB
02. Video Lesson Topics.html	7.6 KB
10. Screencast PCA.html	7.9 KB
17. Video When to Use PCA.html	7.9 KB
07. Video Dimensionality Reduction.html	8.0 KB
04. Video Latent Features.html	8.0 KB
12. Screencast PCA Solution.html	8.0 KB
13. Screencast Interpret PCA Results.html	8.0 KB
15. Screencast Interpretation Solution.html	8.0 KB
08. Video PCA Properties.html	8.3 KB
03. Text Lesson Topics.html	8.4 KB
16. Text What Are EigenValues EigenVectors.html	8.5 KB
22. Text Recap.html	8.9 KB
10. 09 PCA V1-0RLDZWeq5JE.pt-BR.vtt	9.4 KB
10. 09 PCA V1-0RLDZWeq5JE.en.vtt	9.7 KB
09. Quiz How Does PCA Work.html	10.3 KB
12. 11 PCA 1 Solution V1-u0rJRmubQ44.pt-BR.vtt	10.4 KB
12. 11 PCA 1 Solution V1-u0rJRmubQ44.en.vtt	10.9 KB
05. Latent Features.html	12.3 KB
04. Latent Features-kYLcVgpEwGs.mp4	1.8 MB
06. How to Reduce Features-ydhrelgjriI.mp4	2.4 MB
21. Outro-CuIqzL8HjI8.mp4	2.7 MB
07. Dimensionality Reduction-mANti9veGtc.mp4	3.1 MB
17. When to Use PCA-arSP83-CM6w.mp4	3.4 MB
02. Lesson Topics-LBzA08F_r4w.mp4	4.0 MB
18. 17 PCA Recap V1-Egz3-noHCmg.mp4	4.1 MB
01. Introduction-tpFPcxoGxaE.mp4	4.9 MB
13. 12 Interpret PCA Results V1-ZX6EACfsZbc.mp4	5.3 MB
08. PCA Properties-1oaaq-0wdB0.mp4	5.5 MB
15. 14 Interpretation Solution V1-wU2duZa0ds0.mp4	9.6 MB
10. 09 PCA V1-0RLDZWeq5JE.mp4	13.4 MB
12. 11 PCA 1 Solution V1-u0rJRmubQ44.mp4	21.2 MB
/img/
l5-c03-color5.png	0.8 KB
l5-c03-color3.png	0.8 KB
l5-c03-color4.png	0.8 KB
l5-c02-encodings3.png	4.3 KB
l5-c06-adaptations3.png	7.4 KB
l5-c05-faceting1.png	8.3 KB
l5-c02-encodings1.png	9.0 KB
l5-c06-adaptations4.png	9.7 KB
l5-c06-adaptations1.png	10.4 KB
l5-c08-plotmatrices3.png	11.7 KB
l5-c03-color8.png	12.5 KB
l5-c06-adaptations2.png	12.8 KB
l5-c03-color1.png	13.6 KB
l5-c03-color6.png	13.7 KB
l5-c05-faceting2.png	17.7 KB
l5-c06-adaptations5.png	25.9 KB
l5-c02-encodings2.png	28.8 KB
l5-c03-color2.png	29.2 KB
l5-c03-color7.png	29.5 KB
l5-c08-plotmatrices1.png	37.1 KB
l5-c08-plotmatrices2.png	48.6 KB
/Part 09-Module 01-Lesson 01_Shell Workshop/
09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.pt-BR.vtt	0.8 KB
09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.zh-CN.vtt	0.9 KB
17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.pt-BR.vtt	0.9 KB
09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.en.vtt	1.0 KB
17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.zh-CN.vtt	1.1 KB
17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.en.vtt	1.2 KB
09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.ar.vtt	1.3 KB
11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.pt-BR.vtt	1.4 KB
11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.zh-CN.vtt	1.5 KB
17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.ar.vtt	1.6 KB
10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.zh-CN.vtt	1.6 KB
07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.pt-BR.vtt	1.6 KB
07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.zh-CN.vtt	1.6 KB
11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.en.vtt	1.6 KB
10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.pt-BR.vtt	1.7 KB
07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.en.vtt	1.7 KB
10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.en.vtt	1.7 KB
06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.zh-CN.vtt	1.9 KB
07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.ar.vtt	2.0 KB
04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.pt-BR.vtt	2.0 KB
05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.zh-CN.vtt	2.0 KB
11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.ar.vtt	2.1 KB
06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.pt-BR.vtt	2.1 KB
08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.pt-BR.vtt	2.1 KB
06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.en.vtt	2.2 KB
03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.pt-BR.vtt	2.2 KB
05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.pt-BR.vtt	2.2 KB
08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.zh-CN.vtt	2.2 KB
16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.pt-BR.vtt	2.2 KB
05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.en.vtt	2.3 KB
15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.pt-BR.vtt	2.3 KB
03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.zh-CN.vtt	2.3 KB
08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.en.vtt	2.4 KB
10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.ar.vtt	2.4 KB
16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.zh-CN.vtt	2.4 KB
04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.zh-CN.vtt	2.6 KB
03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.en.vtt	2.6 KB
04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.en.vtt	2.7 KB
06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.ar.vtt	2.8 KB
15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.zh-CN.vtt	2.8 KB
05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.ar.vtt	2.8 KB
16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.en.vtt	2.8 KB
02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.pt-BR.vtt	2.8 KB
09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.zh-CN.vtt	2.8 KB
13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.pt-BR.vtt	2.9 KB
09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.pt-BR.vtt	2.9 KB
03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.ar.vtt	2.9 KB
15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.en.vtt	3.0 KB
13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.en.vtt	3.0 KB
09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.en.vtt	3.1 KB
02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.zh-CN.vtt	3.2 KB
04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.ar.vtt	3.2 KB
08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.ar.vtt	3.3 KB
02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.en.vtt	3.4 KB
14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.pt-BR.vtt	3.5 KB
12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.pt-BR.vtt	3.5 KB
01. Shell Intro--EtN5oD8MM0.pt-BR.vtt	3.6 KB
12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.zh-CN.vtt	3.6 KB
16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.ar.vtt	3.8 KB
12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.en.vtt	3.8 KB
01. Shell Intro--EtN5oD8MM0.zh-CN.vtt	3.9 KB
14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.zh-CN.vtt	3.9 KB
02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.ar.vtt	4.0 KB
15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.ar.vtt	4.0 KB
09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.ar.vtt	4.1 KB
01. Shell Intro--EtN5oD8MM0.en.vtt	4.1 KB
14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.en.vtt	4.1 KB
12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.ar.vtt	4.9 KB
index.html	5.0 KB
14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.ar.vtt	5.3 KB
01. Shell Intro--EtN5oD8MM0.ar.vtt	5.5 KB
01. Welcome!.html	6.7 KB
16. Aliases.html	6.9 KB
14. Startup files (.bash_profile).html	7.0 KB
03. Opening a terminal.html	7.4 KB
15. Controlling the shell prompt ($PS1).html	7.5 KB
17. Keep learning!.html	7.5 KB
10. Viewing files (cat, less).html	7.6 KB
06. Current working directory (pwd).html	7.9 KB
05. Navigating directories (ls, cd, ..).html	8.1 KB
13. Shell and environment variables.html	8.1 KB
04. Your first command (echo).html	8.2 KB
11. Removing things (rm, rmdir).html	8.4 KB
09. Downloading (curl).html	8.4 KB
12. Searching and pipes (grep, wc).html	8.4 KB
02. Windows Installing Git Bash.html	9.1 KB
08. Organizing your files (mkdir, mv).html	9.3 KB
07. Parameters and options (ls -l).html	9.7 KB
09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.mp4	825.8 KB
10. Ud206 013 Shell P8 - Viewing Files-hPPVMKqbQV0.mp4	1.4 MB
11. Ud206 014 Shell P9 - Removing Things-it19PvJarbk.mp4	1.8 MB
05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.mp4	1.9 MB
13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.mp4	2.1 MB
07. Ud206 008 Shell P5 - Parameters-UX9mzq11Mmg.mp4	2.2 MB
04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.mp4	2.2 MB
06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.mp4	2.3 MB
16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.mp4	2.6 MB
08. Ud206 009 Shell P6 - Organizing Your Files-NZsYyzzpJXA.mp4	2.7 MB
03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.mp4	3.2 MB
12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.mp4	3.2 MB
14. Ud206 018 P12 Startup Files (.bash_profile)--zF-XebfzBE.mp4	3.3 MB
09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.mp4	3.3 MB
17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.mp4	3.6 MB
15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.mp4	3.9 MB
02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.mp4	4.6 MB
01. Shell Intro--EtN5oD8MM0.mp4	11.3 MB
/Part 14-Module 01-Lesson 02_Communicating to Stakeholders/
10. Three Steps To Captivate Your Audience-BWS3oQYS-c4.en.vtt	0.9 KB
10. Three Steps To Captivate Your Audience-BWS3oQYS-c4.pt-BR.vtt	0.9 KB
19. Conclusion-_ATzG6khLdk.en.vtt	0.9 KB
19. Conclusion-_ATzG6khLdk.pt-BR.vtt	1.0 KB
15. Captivate Your Audience - End With A Call To Action-EajX2NbHJ6w.en.vtt	1.1 KB
01. Introduction-TRw4bvZuEG8.en.vtt	1.2 KB
06. Up and Running On Medium-0QzbxjAcMq0.en.vtt	1.2 KB
01. Introduction-TRw4bvZuEG8.pt-BR.vtt	1.2 KB
06. Up and Running On Medium-0QzbxjAcMq0.pt-BR.vtt	1.3 KB
15. Captivate Your Audience - End With A Call To Action-EajX2NbHJ6w.pt-BR.vtt	1.3 KB
02. First Things First-ehjC7JK-zMI.en.vtt	1.3 KB
02. First Things First-ehjC7JK-zMI.pt-BR.vtt	1.4 KB
11. Captivate Your Audience - First Catch Their Eye-lO8-YKgW7y0.en.vtt	1.4 KB
13. L3 10 Captivate Your Audience Now What V1-Iy08sZYuqkI.pt-BR.vtt	1.5 KB
11. Captivate Your Audience - First Catch Their Eye-lO8-YKgW7y0.pt-BR.vtt	1.5 KB
13. L3 10 Captivate Your Audience Now What V1-Iy08sZYuqkI.en.vtt	1.5 KB
17. Other Important Information-LF-CWF-1mX4.en.vtt	2.0 KB
17. Other Important Information-LF-CWF-1mX4.pt-BR.vtt	2.1 KB
08. Know Your Audience-OjmrU5HlFD8.pt-BR.vtt	2.2 KB
08. Know Your Audience-OjmrU5HlFD8.en.vtt	2.2 KB
04. L3 Git And Github WalkThrough V1-buMNfXkj9fg.pt-BR.vtt	3.4 KB
04. L3 Git And Github WalkThrough V1-buMNfXkj9fg.en.vtt	3.7 KB
index.html	5.2 KB
01. Video Introduction.html	6.7 KB
02. Video First Things First.html	6.8 KB
08. Video Know Your Audience.html	6.8 KB
17. Video Other Important Information.html	6.8 KB
13. Video More Advice.html	6.9 KB
10. Video Three Steps to Captivate Your Audience.html	6.9 KB
11. Video First Catch Their Eye.html	6.9 KB
15. Video End With A Call To Action.html	6.9 KB
06. Video Up And Running On Medium.html	7.0 KB
19. Video Conclusion.html	7.1 KB
04. Video Posting to Github.html	7.4 KB
12. Picture First, Title Second.html	7.7 KB
14. More Advice.html	7.8 KB
18. Text Recap.html	8.0 KB
16. End With A Call To Action.html	9.5 KB
05. Quiz Github Check.html	10.2 KB
09. Who Is The Audience.html	10.8 KB
03. Text README Showcase.html	11.2 KB
07. Text Medium Getting Started Post and Links.html	11.7 KB
10. Three Steps To Captivate Your Audience-BWS3oQYS-c4.mp4	2.9 MB
06. Up and Running On Medium-0QzbxjAcMq0.mp4	3.0 MB
19. Conclusion-_ATzG6khLdk.mp4	3.0 MB
15. Captivate Your Audience - End With A Call To Action-EajX2NbHJ6w.mp4	3.2 MB
04. L3 Git And Github WalkThrough V1-buMNfXkj9fg.mp4	4.0 MB
02. First Things First-ehjC7JK-zMI.mp4	4.2 MB
08. Know Your Audience-OjmrU5HlFD8.mp4	4.3 MB
01. Introduction-TRw4bvZuEG8.mp4	4.5 MB
13. L3 10 Captivate Your Audience Now What V1-Iy08sZYuqkI.mp4	4.6 MB
17. Other Important Information-LF-CWF-1mX4.mp4	4.7 MB
11. Captivate Your Audience - First Catch Their Eye-lO8-YKgW7y0.mp4	5.1 MB
/Part 17-Module 02-Lesson 03_AB Testing Case Study/
14. Conclusion-2G6x3oQnjy4.en.vtt	0.9 KB
01. Intro-28mN6RvGXDM.en.vtt	1.0 KB
index.html	4.7 KB
01. Lesson Introduction.html	6.0 KB
14. Lesson Conclusion.html	6.0 KB
13. Draw Conclusions - Discussion.html	7.2 KB
02. Scenario Description.html	7.4 KB
12. Draw Conclusions.html	7.7 KB
04. Building a Funnel - Discussion.html	7.9 KB
10. Validity, Bias, and Ethics - Discussion.html	8.4 KB
08. Experiment Sizing.html	8.5 KB
05. Deciding on Metrics - Part I.html	8.6 KB
07. Deciding on Metrics - Discussion.html	8.7 KB
09. Experiment Sizing - Discussion.html	8.9 KB
03. Building a Funnel.html	9.3 KB
11. Analyze Data.html	10.2 KB
06. Deciding on Metrics - Part II.html	20.0 KB
14. Conclusion-2G6x3oQnjy4.mp4	2.4 MB
01. Intro-28mN6RvGXDM.mp4	2.7 MB
/img/
codecogseqn-58.gif	0.9 KB
codecogseqn-49.gif	2.1 KB
codecogseqn-43.gif	8.2 KB
codecogseqn-60-2.png	9.2 KB
points.png	64.7 KB
perceptronquiz.png	95.9 KB
xor-quiz.png	96.4 KB
meme.png	214.1 KB
xor.png	220.1 KB
and-quiz.png	272.2 KB
or-quiz.png	403.1 KB
and-to-or.png	620.7 KB
student-quiz.png	767.0 KB
/img/
codecogseqn-58.gif	0.9 KB
sigmoid-derivative.gif	2.1 KB
codecogseqn-49.gif	2.1 KB
codecogseqn-43.gif	8.2 KB
codecogseqn-60-2.png	9.2 KB
points.png	64.7 KB
perceptronquiz.png	95.9 KB
xor-quiz.png	96.4 KB
meme.png	214.1 KB
xor.png	220.1 KB
and-quiz.png	272.2 KB
or-quiz.png	403.1 KB
screen-shot-2018-03-19-at-3.49.28-pm.png	482.9 KB
and-to-or.png	620.7 KB
student-quiz.png	767.0 KB
/Part 10-Module 01-Lesson 03_Review a Repo's History/
07. A Repository's History - Outro-9rUf2HbdAd8.zh-CN.vtt	0.9 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.zh-CN.vtt	0.9 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.en.vtt	1.0 KB
07. A Repository's History - Outro-9rUf2HbdAd8.en.vtt	1.0 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.zh-CN.vtt	1.1 KB
07. A Repository's History - Outro-9rUf2HbdAd8.pt-BR.vtt	1.1 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.pt-BR.vtt	1.1 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.en.vtt	1.2 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.pt-BR.vtt	1.2 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.ar.vtt	1.3 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.ar.vtt	1.5 KB
07. A Repository's History - Outro-9rUf2HbdAd8.ar.vtt	1.5 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.zh-CN.vtt	1.5 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.zh-CN.vtt	1.5 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.en.vtt	1.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.pt-BR.vtt	1.7 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.en.vtt	1.7 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.pt-BR.vtt	1.8 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.ar.vtt	2.2 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.ar.vtt	2.4 KB
01. A Repository's History - Intro-UBmg3syQS0E.zh-CN.vtt	3.5 KB
01. A Repository's History - Intro-UBmg3syQS0E.en.vtt	4.0 KB
index.html	4.1 KB
01. A Repository's History - Intro-UBmg3syQS0E.pt-BR.vtt	4.2 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.zh-CN.vtt	4.8 KB
01. A Repository's History - Intro-UBmg3syQS0E.ar.vtt	5.0 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.en.vtt	5.4 KB
07. Outro.html	5.7 KB
01. Intro.html	5.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.pt-BR.vtt	5.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.ar.vtt	7.1 KB
06. Viewing A Specific Commit.html	11.4 KB
03. Changing How Git Log Displays Information.html	13.5 KB
04. Viewing Modified Files.html	13.6 KB
05. Viewing File Changes.html	17.0 KB
02. Displaying A Repository's Commits.html	19.1 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.mp4	1.7 MB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.mp4	1.9 MB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 11 Git Log Output Explained-xJfurQcVYfo.mp4	2.3 MB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.mp4	4.4 MB
07. A Repository's History - Outro-9rUf2HbdAd8.mp4	4.6 MB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.mp4	6.5 MB
01. A Repository's History - Intro-UBmg3syQS0E.mp4	12.9 MB
/Part 04-Module 01-Lesson 05_Random Projection and ICA/
07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.en.vtt	0.9 KB
07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.pt-BR.vtt	1.0 KB
03. L6 2 Random Projection Impl MAINv1 V1 V1-5DhvurLgRII.en.vtt	1.2 KB
03. L6 2 Random Projection Impl MAINv1 V1 V1-5DhvurLgRII.pt-BR.vtt	1.3 KB
04. L6 3 ICA V1 V1-ae94x-1JDzg.pt-BR.vtt	3.9 KB
04. L6 3 ICA V1 V1-ae94x-1JDzg.en.vtt	4.0 KB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.pt-BR.vtt	4.2 KB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.en.vtt	4.3 KB
index.html	4.4 KB
07. ICA in sklearn.html	5.7 KB
03. Random Projection in sklearn.html	5.8 KB
05. FastICA Algorithm.html	6.0 KB
08. [Lab] Independent Component Analysis.html	6.3 KB
09. [Solution] Independent Component Analysis.html	6.3 KB
04. Independent Component Analysis (ICA).html	6.5 KB
10. ICA Applications.html	6.9 KB
01. Random Projection.html	7.0 KB
05. L6 4 ICA Algorithm V2 V1-xlhd5UWk_-E.en.vtt	7.1 KB
06. ICA.html	7.2 KB
05. L6 4 ICA Algorithm V2 V1-xlhd5UWk_-E.pt-BR.vtt	7.3 KB
02. Random Projection.html	7.3 KB
01. L6 1 Random Projection MAIN V1 V1 V1-Iat1a8mzI-Y.en.vtt	9.2 KB
01. L6 1 Random Projection MAIN V1 V1 V1-Iat1a8mzI-Y.pt-BR.vtt	9.5 KB
07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.mp4	1.1 MB
03. L6 2 Random Projection Impl MAINv1 V1 V1-5DhvurLgRII.mp4	1.2 MB
04. L6 3 ICA V1 V1-ae94x-1JDzg.mp4	6.3 MB
05. L6 4 ICA Algorithm V2 V1-xlhd5UWk_-E.mp4	8.3 MB
01. L6 1 Random Projection MAIN V1 V1 V1-Iat1a8mzI-Y.mp4	9.6 MB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.mp4	10.4 MB
/Part 10-Module 01-Lesson 08_Working On Another Developer's Repository/
01. Intro-VkqtlJuZ9rs.zh-CN.vtt	0.9 KB
01. Intro-VkqtlJuZ9rs.en.vtt	1.1 KB
01. Intro-VkqtlJuZ9rs.pt-BR.vtt	1.2 KB
01. Intro-VkqtlJuZ9rs.ar.vtt	1.3 KB
02. Forking a Repository - What Is Forking-z4mkVwqVztc.en.vtt	1.8 KB
02. Forking a Repository - What Is Forking-z4mkVwqVztc.zh-CN.vtt	1.8 KB
02. Forking a Repository - What Is Forking-z4mkVwqVztc.pt-BR.vtt	1.8 KB
02. Forking a Repository - What Is Forking-z4mkVwqVztc.ar.vtt	2.2 KB
index.html	3.9 KB
02. L2 - Pushing To A Fork-WRgNpr19t48.zh-CN.vtt	5.0 KB
01. Intro.html	5.1 KB
02. L2 - Pushing To A Fork-WRgNpr19t48.pt-BR.vtt	5.4 KB
02. L2 - Pushing To A Fork-WRgNpr19t48.en.vtt	5.5 KB
02. L2 - Pushing To A Fork-WRgNpr19t48.ar.vtt	7.0 KB
02. Forking A Repository.html	16.3 KB
03. Reviewing Existing Work.html	20.7 KB
04. Determining What To Work On.html	21.8 KB
01. Intro-VkqtlJuZ9rs.mp4	3.6 MB
02. Forking a Repository - What Is Forking-z4mkVwqVztc.mp4	5.5 MB
02. L2 - Pushing To A Fork-WRgNpr19t48.mp4	8.0 MB
/Part 10-Module 01-Lesson 01_What is Version Control/
06. Onward-iXbMaTwfIJI.zh-CN.vtt	1.0 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.zh-CN.vtt	1.1 KB
06. Onward-iXbMaTwfIJI.en.vtt	1.1 KB
06. Onward-iXbMaTwfIJI.pt-BR.vtt	1.2 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.en.vtt	1.2 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.pt-BR.vtt	1.2 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.zh-CN.vtt	1.4 KB
06. Onward-iXbMaTwfIJI.ar.vtt	1.5 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.zh-CN.vtt	1.5 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.en.vtt	1.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.pt-BR.vtt	1.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.ar.vtt	1.6 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.en.vtt	1.7 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.pt-BR.vtt	1.8 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.zh-CN.vtt	1.9 KB
01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.zh-CN.vtt	2.0 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.en.vtt	2.0 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.pt-BR.vtt	2.1 KB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.ar.vtt	2.2 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.ar.vtt	2.2 KB
01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.en.vtt	2.3 KB
01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.pt-BR.vtt	2.3 KB
03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.zh-CN.vtt	2.5 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.zh-CN.vtt	2.5 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.en.vtt	2.6 KB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.ar.vtt	2.7 KB
03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.en.vtt	2.7 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.pt-BR.vtt	2.8 KB
03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.pt-BR.vtt	2.9 KB
01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.ar.vtt	3.0 KB
01. Gitfinal L1 01 Welcome-lbR82UD5F0c.zh-CN.vtt	3.3 KB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.ar.vtt	3.4 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.zh-CN.vtt	3.4 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.pt-BR.vtt	3.5 KB
01. Gitfinal L1 01 Welcome-lbR82UD5F0c.pt-BR.vtt	3.6 KB
01. Gitfinal L1 01 Welcome-lbR82UD5F0c.en.vtt	3.6 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.en.vtt	3.6 KB
03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.ar.vtt	3.7 KB
index.html	4.0 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.ar.vtt	4.8 KB
01. Gitfinal L1 01 Welcome-lbR82UD5F0c.ar.vtt	4.9 KB
06. Onward.html	5.4 KB
01. What is Version Control.html	8.9 KB
05. Windows Setup.html	10.3 KB
02. Version Control In Daily Use.html	10.4 KB
04. MacLinux Setup.html	11.3 KB
03. Git and Version Control Terminology.html	14.2 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.mp4	930.8 KB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 15 Git The Big Picture-dVil8e0yptQ.mp4	2.7 MB
02. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 11 Google Docs Revision History Walkthrough-GcvvbdKEchk.mp4	2.9 MB
06. Onward-iXbMaTwfIJI.mp4	3.7 MB
04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.mp4	3.8 MB
05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.mp4	4.0 MB
01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.mp4	4.6 MB
03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.mp4	5.3 MB
01. Gitfinal L1 01 Welcome-lbR82UD5F0c.mp4	9.3 MB
03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.mp4	10.8 MB
/Part 07-Module 01-Lesson 01_Basic SQL/
03. Entity Relationship Diagrams-YY2TAJLEINA.zh-CN.vtt	1.0 KB
27. WHERE with Non-Numeric Data-_pLx7MHOyjo.zh-CN.vtt	1.0 KB
03. Entity Relationship Diagrams-YY2TAJLEINA.en.vtt	1.1 KB
27. WHERE with Non-Numeric Data-_pLx7MHOyjo.en.vtt	1.1 KB
03. Entity Relationship Diagrams-YY2TAJLEINA.pt-BR.vtt	1.2 KB
02. Parch Posey Database-JOMI560DgXg.zh-CN.vtt	1.2 KB
07. How Databases Store Data-H0C9z_sRvLE.zh-CN.vtt	1.2 KB
02. Parch Posey Database-JOMI560DgXg.en.vtt	1.2 KB
27. WHERE with Non-Numeric Data-_pLx7MHOyjo.pt-BR.vtt	1.3 KB
07. How Databases Store Data-H0C9z_sRvLE.en.vtt	1.3 KB
37. IN Operator-_JPO7wwX3uA.zh-CN.vtt	1.3 KB
01. Introduction-Z8WNfx9Oq9s.zh-CN.vtt	1.3 KB
09. Types Of Statements-vLvJbIz94C4.zh-CN.vtt	1.3 KB
01. Introduction-Z8WNfx9Oq9s.en.vtt	1.4 KB
02. Parch Posey Database-JOMI560DgXg.pt-BR.vtt	1.4 KB
07. How Databases Store Data-H0C9z_sRvLE.pt-BR.vtt	1.4 KB
27. WHERE with Non-Numeric Data-_pLx7MHOyjo.ar.vtt	1.5 KB
37. IN Operator-_JPO7wwX3uA.en.vtt	1.5 KB
09. Types Of Statements-vLvJbIz94C4.en.vtt	1.5 KB
03. Entity Relationship Diagrams-YY2TAJLEINA.ar.vtt	1.5 KB
46. OR Statement-DRmkKVhe6-s.zh-CN.vtt	1.5 KB
01. Introduction-Z8WNfx9Oq9s.pt-BR.vtt	1.6 KB
37. IN Operator-_JPO7wwX3uA.pt-BR.vtt	1.6 KB
15. LIMIT Statement-cCPHNNhBgpQ.zh-CN.vtt	1.6 KB
02. Parch Posey Database-JOMI560DgXg.ar.vtt	1.7 KB
09. Types Of Statements-vLvJbIz94C4.pt-BR.vtt	1.8 KB
34. LIKE Operator-O5z6eWkNip4.zh-CN.vtt	1.8 KB
46. OR Statement-DRmkKVhe6-s.en.vtt	1.8 KB
30. Arithmetic Operators-fgcJdiNECxI.zh-CN.vtt	1.8 KB
18. ORDER BY Statement-wqj2As31LqI.zh-CN.vtt	1.8 KB
07. How Databases Store Data-H0C9z_sRvLE.ar.vtt	1.8 KB
15. LIMIT Statement-cCPHNNhBgpQ.en.vtt	1.9 KB
21. Order By Part II-XQCjREdOqwE.zh-CN.vtt	1.9 KB
46. OR Statement-DRmkKVhe6-s.pt-BR.vtt	1.9 KB
46. OR Operator-3vLGEuXAAvA.zh-CN.vtt	1.9 KB
30. Arithmetic Operators-fgcJdiNECxI.en.vtt	1.9 KB
37. IN Operator-_JPO7wwX3uA.ar.vtt	2.0 KB
18. ORDER BY Statement-wqj2As31LqI.en.vtt	2.0 KB
34. LIKE Operator-O5z6eWkNip4.en.vtt	2.0 KB
09. Types Of Statements-vLvJbIz94C4.ar.vtt	2.0 KB
40. NOT Operator-dSQF87oW8a0.zh-CN.vtt	2.1 KB
43. AND BETWEEN Operators-nBuDPneWcKY.zh-CN.vtt	2.1 KB
24. WHERE Statements -mN0uTnlXaxg.zh-CN.vtt	2.1 KB
06. Why Businesses Choose Databases-j4ey7--h9r8.zh-CN.vtt	2.1 KB
01. Introduction-Z8WNfx9Oq9s.ar.vtt	2.1 KB
21. Order By Part II-XQCjREdOqwE.en.vtt	2.1 KB
30. Arithmetic Operators-fgcJdiNECxI.pt-BR.vtt	2.1 KB
15. LIMIT Statement-cCPHNNhBgpQ.pt-BR.vtt	2.2 KB
18. ORDER BY Statement-wqj2As31LqI.pt-BR.vtt	2.2 KB
46. OR Operator-3vLGEuXAAvA.en.vtt	2.2 KB
06. Why Businesses Choose Databases-j4ey7--h9r8.en.vtt	2.2 KB
40. NOT Operator-dSQF87oW8a0.en.vtt	2.3 KB
24. WHERE Statements -mN0uTnlXaxg.en.vtt	2.3 KB
43. AND BETWEEN Operators-nBuDPneWcKY.en.vtt	2.3 KB
46. OR Operator-3vLGEuXAAvA.pt-BR.vtt	2.5 KB
34. LIKE Operator-O5z6eWkNip4.pt-BR.vtt	2.5 KB
40. NOT Operator-dSQF87oW8a0.pt-BR.vtt	2.5 KB
46. OR Statement-DRmkKVhe6-s.ar.vtt	2.5 KB
30. Arithmetic Operators-fgcJdiNECxI.ar.vtt	2.6 KB
43. AND BETWEEN Operators-nBuDPneWcKY.pt-BR.vtt	2.6 KB
21. Order By Part II-XQCjREdOqwE.pt-BR.vtt	2.6 KB
15. LIMIT Statement-cCPHNNhBgpQ.ar.vtt	2.6 KB
18. ORDER BY Statement-wqj2As31LqI.ar.vtt	2.6 KB
34. LIKE Operator-O5z6eWkNip4.ar.vtt	2.7 KB
06. Why Businesses Choose Databases-j4ey7--h9r8.pt-BR.vtt	2.7 KB
24. WHERE Statements -mN0uTnlXaxg.pt-BR.vtt	2.8 KB
06. Why Do Analysts Like SQL-uCNOtUht2Xc.zh-CN.vtt	2.8 KB
21. Order By Part II-XQCjREdOqwE.ar.vtt	2.8 KB
46. OR Operator-3vLGEuXAAvA.ar.vtt	2.9 KB
06. Why Do Analysts Like SQL-uCNOtUht2Xc.en.vtt	2.9 KB
24. WHERE Statements -mN0uTnlXaxg.ar.vtt	3.1 KB
06. Why Businesses Choose Databases-j4ey7--h9r8.ar.vtt	3.1 KB
11. SELECT FROM Statements-urOYuuav4BY.zh-CN.vtt	3.2 KB
40. NOT Operator-dSQF87oW8a0.ar.vtt	3.2 KB
43. AND BETWEEN Operators-nBuDPneWcKY.ar.vtt	3.3 KB
06. Why Do Analysts Like SQL-uCNOtUht2Xc.pt-BR.vtt	3.3 KB
11. SELECT FROM Statements-urOYuuav4BY.en.vtt	3.4 KB
11. SELECT FROM Statements-urOYuuav4BY.pt-BR.vtt	3.7 KB
06. Why Do Analysts Like SQL-uCNOtUht2Xc.ar.vtt	4.4 KB
11. SELECT FROM Statements-urOYuuav4BY.ar.vtt	4.6 KB
index.html	7.5 KB
01. Video SQL Introduction.html	10.0 KB
02. Video The Parch Posey Database.html	10.1 KB
40. Video NOT.html	10.4 KB
21. Video ORDER BY Part II.html	10.4 KB
17. Solutions LIMIT.html	10.6 KB
13. Solution Your First Queries.html	10.6 KB
29. Solutions WHERE with Non-Numeric.html	10.7 KB
09. Video Types of Statements.html	10.7 KB
27. Video WHERE with Non-Numeric Data.html	10.7 KB
39. Solutions IN.html	10.7 KB
33. Text Introduction to Logical Operators.html	10.7 KB
15. Video LIMIT.html	10.7 KB
35. Quiz LIKE.html	10.7 KB
36. Solutions LIKE.html	10.7 KB
24. Video WHERE.html	10.8 KB
25. Quiz WHERE.html	10.8 KB
28. Quiz WHERE with Non-Numeric.html	10.8 KB
18. Video ORDER BY.html	10.8 KB
20. Solutions ORDER BY.html	10.9 KB
38. Quiz IN.html	10.9 KB
26. Solutions WHERE.html	10.9 KB
48. Solutions OR.html	10.9 KB
37. Video IN.html	11.0 KB
23. Solutions ORDER BY Part II.html	11.0 KB
11. Video SELECT FROM.html	11.0 KB
47. Quiz OR.html	11.1 KB
42. Solutions NOT.html	11.1 KB
44. Quiz AND and BETWEEN.html	11.1 KB
32. Solutions Arithmetic Operators.html	11.2 KB
30. Video Arithmetic Operators.html	11.2 KB
45. Solutions AND and BETWEEN.html	11.2 KB
41. Quiz NOT.html	11.3 KB
34. Video LIKE.html	11.3 KB
43. Video AND and BETWEEN.html	11.4 KB
07. Video How Databases Store Data.html	11.4 KB
19. Quiz ORDER BY.html	11.6 KB
46. Video OR.html	11.6 KB
10. Statements.html	11.7 KB
31. Quiz Arithmetic Operators.html	11.8 KB
22. Quiz ORDER BY Part II.html	11.8 KB
05. Text Map of SQL Content.html	12.5 KB
03. Video + Text The Parch Posey Database.html	12.5 KB
04. Quiz ERD Fundamentals.html	12.6 KB
16. Quiz LIMIT.html	12.7 KB
49. Text Recap Looking Ahead.html	12.8 KB
08. Text + Quiz Types of Databases.html	12.9 KB
14. Formatting Best Practices.html	13.7 KB
06. Video Why SQL.html	14.6 KB
12. Your First Queries in SQL Workspace.html	15.8 KB
07. How Databases Store Data-H0C9z_sRvLE.mp4	1.3 MB
03. Entity Relationship Diagrams-YY2TAJLEINA.mp4	1.4 MB
30. Arithmetic Operators-fgcJdiNECxI.mp4	1.7 MB
46. OR Statement-DRmkKVhe6-s.mp4	1.8 MB
37. IN Operator-_JPO7wwX3uA.mp4	1.8 MB
40. NOT Operator-dSQF87oW8a0.mp4	2.0 MB
46. OR Operator-3vLGEuXAAvA.mp4	2.0 MB
06. Why Businesses Choose Databases-j4ey7--h9r8.mp4	2.1 MB
27. WHERE with Non-Numeric Data-_pLx7MHOyjo.mp4	2.2 MB
34. LIKE Operator-O5z6eWkNip4.mp4	2.3 MB
43. AND BETWEEN Operators-nBuDPneWcKY.mp4	2.5 MB
18. ORDER BY Statement-wqj2As31LqI.mp4	2.6 MB
21. Order By Part II-XQCjREdOqwE.mp4	3.3 MB
09. Types Of Statements-vLvJbIz94C4.mp4	3.8 MB
06. Why Do Analysts Like SQL-uCNOtUht2Xc.mp4	4.1 MB
24. WHERE Statements -mN0uTnlXaxg.mp4	4.7 MB
11. SELECT FROM Statements-urOYuuav4BY.mp4	5.3 MB
02. Parch Posey Database-JOMI560DgXg.mp4	5.5 MB
15. LIMIT Statement-cCPHNNhBgpQ.mp4	5.9 MB
01. Introduction-Z8WNfx9Oq9s.mp4	6.2 MB
/Part 16-Module 01-Lesson 03_NLP Pipelines/
17. Summary-zKYEvRd2XmI.zh-CN.vtt	1.0 KB
13. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt	1.0 KB
01. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt	1.1 KB
03. Text Processing-6LO6I5M18PQ.zh-CN.vtt	1.1 KB
24. Modeling-P4w_2rkxBvE.zh-CN.vtt	1.1 KB
13. Named Entity Recognition-QUQu2nsE7vE.en.vtt	1.1 KB
17. Summary-zKYEvRd2XmI.en.vtt	1.1 KB
01. Natural Language Processing-UQBxJzoCp-I.en.vtt	1.2 KB
03. Text Processing-6LO6I5M18PQ.en.vtt	1.2 KB
22. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt	1.2 KB
03. Text Processing-6LO6I5M18PQ.pt-BR.vtt	1.3 KB
17. Summary-zKYEvRd2XmI.pt-BR.vtt	1.3 KB
13. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt	1.3 KB
23. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt	1.3 KB
24. Modeling-P4w_2rkxBvE.en.vtt	1.3 KB
01. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt	1.3 KB
22. One-Hot Encoding-a0j1CDXFYZI.en.vtt	1.4 KB
10. Stop Word Removal-WAU_Ij0GJbw.zh-CN.vtt	1.4 KB
24. Modeling-P4w_2rkxBvE.pt-BR.vtt	1.5 KB
12. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt	1.5 KB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt	1.6 KB
23. Word Embeddings-4mM_S9L2_JQ.en.vtt	1.6 KB
22. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt	1.6 KB
10. Stop Word Removal-WAU_Ij0GJbw.en.vtt	1.6 KB
12. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt	1.7 KB
23. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt	1.7 KB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt	1.8 KB
10. Stop Word Removal-WAU_Ij0GJbw.pt-BR.vtt	1.8 KB
28. T-SNE-xxcK8oZ6_WE.zh-CN.vtt	1.9 KB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt	1.9 KB
12. Part-of-Speech Tagging-WFEu8bXI5OA.pt-BR.vtt	2.0 KB
28. T-SNE-xxcK8oZ6_WE.en.vtt	2.2 KB
03. Text Processing-pqheVyctkNQ.zh-CN.vtt	2.4 KB
28. T-SNE-xxcK8oZ6_WE.pt-BR.vtt	2.5 KB
08. Tokenization-4Ieotbeh4u8.zh-CN.vtt	2.7 KB
03. Text Processing-pqheVyctkNQ.en.vtt	2.7 KB
20. 02 TF-IDF-LYYWIrWbBq4.en.vtt	2.9 KB
25. Word2Vec-7jjappzGRe0.zh-CN.vtt	2.9 KB
06. Normalization-eOV2UUY8vtM.zh-CN.vtt	3.0 KB
08. Tokenization-4Ieotbeh4u8.en.vtt	3.0 KB
03. Text Processing-pqheVyctkNQ.pt-BR.vtt	3.0 KB
20. 02 TF-IDF-LYYWIrWbBq4.pt-BR.vtt	3.1 KB
06. Normalization-eOV2UUY8vtM.en.vtt	3.3 KB
08. Tokenization-4Ieotbeh4u8.pt-BR.vtt	3.4 KB
18. Feature Extraction-UgENzCmfFWE.zh-CN.vtt	3.4 KB
06. Normalization-eOV2UUY8vtM.pt-BR.vtt	3.5 KB
25. Word2Vec-7jjappzGRe0.en.vtt	3.5 KB
26. GloVe-KK3PMIiIn8o.zh-CN.vtt	3.7 KB
25. Word2Vec-7jjappzGRe0.pt-BR.vtt	3.9 KB
18. Feature Extraction-UgENzCmfFWE.en.vtt	3.9 KB
19. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt	4.2 KB
26. GloVe-KK3PMIiIn8o.en.vtt	4.3 KB
18. Feature Extraction-UgENzCmfFWE.pt-BR.vtt	4.3 KB
15. Stemming And Lemmatization-7Gjf81u5hmw.zh-CN.vtt	4.4 KB
26. GloVe-KK3PMIiIn8o.pt-BR.vtt	4.7 KB
27. Embeddings For Deep Learning-gj8u1KG0H2w.zh-CN.vtt	4.8 KB
19. Bag Of Words-A7M1z8yLl0w.en.vtt	4.8 KB
15. Stemming And Lemmatization-7Gjf81u5hmw.en.vtt	4.9 KB
15. Stemming And Lemmatization-7Gjf81u5hmw.pt-BR.vtt	5.1 KB
19. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt	5.2 KB
27. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt	5.2 KB
index.html	5.7 KB
27. Embeddings For Deep Learning-gj8u1KG0H2w.pt-BR.vtt	5.7 KB
20. TF-IDF.html	7.4 KB
26. [OPTIONAL] GloVe.html	7.5 KB
28. [OPTIONAL] t-SNE.html	7.5 KB
25. [OPTIONAL] Word2Vec.html	7.6 KB
17. Text Processing Summary.html	7.6 KB
19. Bag of Words.html	7.6 KB
22. One-Hot Encoding.html	7.6 KB
10. Stop Word Removal.html	7.6 KB
13. Named Entity Recognition.html	7.6 KB
04. Cleaning-qawXp9DPV6I.zh-CN.vtt	7.6 KB
15. Stemming and Lemmatization.html	7.7 KB
27. [OPTIONAL] Embeddings for Deep Learning.html	7.7 KB
23. Word Embeddings.html	7.8 KB
08. Tokenization.html	7.9 KB
05. Notebook Cleaning.html	8.0 KB
18. Feature Extraction.html	8.0 KB
11. Notebook Stop Words.html	8.0 KB
14. Notebook POS and NER.html	8.0 KB
09. Notebook Tokenization.html	8.0 KB
07. Notebook Normalization.html	8.0 KB
21. Notebook Bag of Words and TF-IDF.html	8.0 KB
16. Notebook Stemming and Lemmatization.html	8.1 KB
12. Part-of-Speech Tagging.html	8.2 KB
01. NLP and Pipelines.html	8.3 KB
06. Normalization.html	8.3 KB
24. Modeling.html	8.4 KB
04. Cleaning-qawXp9DPV6I.en.vtt	8.5 KB
02. How NLP Pipelines Work.html	8.6 KB
04. Cleaning.html	8.8 KB
04. Cleaning-qawXp9DPV6I.pt-BR.vtt	9.3 KB
03. Text Processing.html	10.7 KB
17. Summary-zKYEvRd2XmI.mp4	1.0 MB
22. One-Hot Encoding-a0j1CDXFYZI.mp4	1.1 MB
13. Named Entity Recognition-QUQu2nsE7vE.mp4	1.2 MB
24. Modeling-P4w_2rkxBvE.mp4	1.2 MB
23. Word Embeddings-4mM_S9L2_JQ.mp4	1.3 MB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4	1.3 MB
03. Text Processing-6LO6I5M18PQ.mp4	1.9 MB
10. Stop Word Removal-WAU_Ij0GJbw.mp4	2.1 MB
12. Part-of-Speech Tagging-WFEu8bXI5OA.mp4	2.3 MB
20. 02 TF-IDF-LYYWIrWbBq4.mp4	2.7 MB
03. Text Processing-pqheVyctkNQ.mp4	3.1 MB
25. Word2Vec-7jjappzGRe0.mp4	3.1 MB
06. Normalization-eOV2UUY8vtM.mp4	3.3 MB
08. Tokenization-4Ieotbeh4u8.mp4	3.4 MB
01. Natural Language Processing-UQBxJzoCp-I.mp4	3.6 MB
18. Feature Extraction-UgENzCmfFWE.mp4	3.6 MB
26. GloVe-KK3PMIiIn8o.mp4	4.0 MB
19. Bag Of Words-A7M1z8yLl0w.mp4	4.2 MB
27. Embeddings For Deep Learning-gj8u1KG0H2w.mp4	4.9 MB
15. Stemming And Lemmatization-7Gjf81u5hmw.mp4	5.2 MB
28. T-SNE-xxcK8oZ6_WE.mp4	5.8 MB
04. Cleaning-qawXp9DPV6I.mp4	20.5 MB
/Part 08-Module 01-Lesson 01_Data Visualization in Data Analysis/
08. L1 08.1 Lesson Summary HD (1)--c9IeqHkAZ0.pt-BR.vtt	1.0 KB
03. Further Motivation-sjGxUKrbKoI.zh-CN.vtt	1.4 KB
03. Further Motivation-sjGxUKrbKoI.en.vtt	1.5 KB
03. Further Motivation-sjGxUKrbKoI.pt-BR.vtt	1.7 KB
03. Further Motivation-sjGxUKrbKoI.ar.vtt	2.1 KB
01. L1 011 Data Visualization In Data Analysis Intro V3 V3-U1VapEELBfw.pt-BR.vtt	2.1 KB
06. L1 061 Visualization In Python V1-MFS-1veFC_c.pt-BR.vtt	2.7 KB
04. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.zh-CN.vtt	3.3 KB
04. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.en.vtt	3.7 KB
index.html	4.3 KB
04. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.pt-BR.vtt	4.3 KB
04. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.ar.vtt	5.1 KB
08. Lesson Summary.html	5.4 KB
03. Further Motivation.html	6.3 KB
01. Introduction to Data Visualization.html	7.0 KB
06. Visualization in Python.html	7.3 KB
04. Exploratory vs. Explanatory Analyses.html	7.3 KB
07. Course Structure.html	7.4 KB
05. Quiz Exploratory vs. Explanatory.html	10.0 KB
02. Motivation for Data Visualization.html	13.0 KB
08. L1 08.1 Lesson Summary HD (1)--c9IeqHkAZ0.mp4	2.6 MB
03. Further Motivation-sjGxUKrbKoI.mp4	3.7 MB
01. L1 011 Data Visualization In Data Analysis Intro V3 V3-U1VapEELBfw.mp4	5.3 MB
06. L1 061 Visualization In Python V1-MFS-1veFC_c.mp4	5.8 MB
04. Exploratory vs. Explanatory Analysis-wvgBSMks4p8.mp4	8.6 MB
/Part 10-Module 01-Lesson 09_Staying In Sync With A Remote Repository/
01. Intro-j5RmK0UHOTY.zh-CN.vtt	1.0 KB
01. Intro-j5RmK0UHOTY.pt-BR.vtt	1.1 KB
01. Intro-j5RmK0UHOTY.en.vtt	1.1 KB
06. Course Wrap Up-66Ut8Bv6kgc.zh-CN.vtt	1.2 KB
05. L3 - Squashing Introduction-mRbeT2XVL9w.zh-CN.vtt	1.2 KB
06. Course Wrap Up-66Ut8Bv6kgc.pt-BR.vtt	1.3 KB
05. L3 - Squashing Introduction-mRbeT2XVL9w.pt-BR.vtt	1.4 KB
05. L3 - Squashing Introduction-mRbeT2XVL9w.en.vtt	1.4 KB
06. Course Wrap Up-66Ut8Bv6kgc.en.vtt	1.4 KB
01. Intro-j5RmK0UHOTY.ar.vtt	1.5 KB
05. L3 - Squashing Introduction-mRbeT2XVL9w.ar.vtt	1.7 KB
06. Course Wrap Up-66Ut8Bv6kgc.ar.vtt	1.7 KB
02. L3 - Pull Request In Theory-twLr9ndsf90.zh-CN.vtt	2.1 KB
02. L3 - Pull Request In Theory-twLr9ndsf90.en.vtt	2.3 KB
02. L3 - Pull Request In Theory-twLr9ndsf90.pt-BR.vtt	2.4 KB
03. L3 - Include Upstream Changes-VvoC6hN6FjU.zh-CN.vtt	3.1 KB
02. L3 - Pull Request In Theory-twLr9ndsf90.ar.vtt	3.1 KB
05. L3 - Squashing In Theory-H5JqcdIB5y0.zh-CN.vtt	3.1 KB
05. L3 - Squashing In Theory-H5JqcdIB5y0.pt-BR.vtt	3.3 KB
03. L3 - Include Upstream Changes-VvoC6hN6FjU.en.vtt	3.4 KB
05. L3 - Squashing In Theory-H5JqcdIB5y0.en.vtt	3.5 KB
02. L3 - Pull Request In Action-d3AGtKmHxUk.zh-CN.vtt	3.9 KB
03. L3 - Include Upstream Changes-VvoC6hN6FjU.pt-BR.vtt	3.9 KB
02. L3 - Pull Request In Action-d3AGtKmHxUk.pt-BR.vtt	3.9 KB
index.html	4.0 KB
03. L3 - Include Upstream Changes-VvoC6hN6FjU.ar.vtt	4.1 KB
02. L3 - Pull Request In Action-d3AGtKmHxUk.en.vtt	4.3 KB
05. L3 - Squashing In Theory-H5JqcdIB5y0.ar.vtt	4.9 KB
01. Intro.html	5.3 KB
02. L3 - Pull Request In Action-d3AGtKmHxUk.ar.vtt	5.6 KB
05. L3 - Squashing In Action-cL6ehKtJLUM.zh-CN.vtt	6.4 KB
06. Course Wrap Up.html	6.9 KB
05. L3 - Squashing In Action-cL6ehKtJLUM.pt-BR.vtt	7.0 KB
05. L3 - Squashing In Action-cL6ehKtJLUM.en.vtt	7.4 KB
04. Manage an active PR.html	8.6 KB
05. L3 - Squashing In Action-cL6ehKtJLUM.ar.vtt	10.1 KB
02. Create a Pull Request.html	10.3 KB
05. Squash Commits.html	15.7 KB
03. Stay in sync with source project.html	20.2 KB
02. L3 - Pull Request In Theory-twLr9ndsf90.mp4	1.7 MB
05. L3 - Squashing In Theory-H5JqcdIB5y0.mp4	2.6 MB
03. L3 - Include Upstream Changes-VvoC6hN6FjU.mp4	3.2 MB
01. Intro-j5RmK0UHOTY.mp4	3.4 MB
06. Course Wrap Up-66Ut8Bv6kgc.mp4	4.2 MB
05. L3 - Squashing Introduction-mRbeT2XVL9w.mp4	4.6 MB
02. L3 - Pull Request In Action-d3AGtKmHxUk.mp4	4.8 MB
05. L3 - Squashing In Action-cL6ehKtJLUM.mp4	8.6 MB
/Part 08-Module 01-Lesson 02_Design of Visualizations/
01. L2 011 Intro HD V2-TlpGWQBLG6E.pt-BR.vtt	1.0 KB
18. L2 181 Lesson Summary HDmp4 V3-kKEeBDs4HuM.pt-BR.vtt	1.4 KB
15. Designing for Color Blindness-k4iTzS7t2U4.zh-CN.vtt	1.6 KB
15. Designing for Color Blindness-k4iTzS7t2U4.en.vtt	1.7 KB
15. Designing for Color Blindness-k4iTzS7t2U4.pt-BR.vtt	1.7 KB
09. Chart Junk-3BTBEYOG2o8.zh-CN.vtt	2.0 KB
08. What Experts Say About Visual Encodings-98aog0eVcC4.zh-CN.vtt	2.1 KB
09. Chart Junk-3BTBEYOG2o8.en.vtt	2.2 KB
09. Chart Junk-3BTBEYOG2o8.pt-BR.vtt	2.2 KB
08. What Experts Say About Visual Encodings-98aog0eVcC4.en.vtt	2.3 KB
15. Designing for Color Blindness-k4iTzS7t2U4.ar.vtt	2.4 KB
08. What Experts Say About Visual Encodings-98aog0eVcC4.pt-BR.vtt	2.5 KB
08. What Experts Say About Visual Encodings-98aog0eVcC4.ar.vtt	2.9 KB
09. Chart Junk-3BTBEYOG2o8.ar.vtt	3.0 KB
16. Shape, Size, and other Tools-fzEliHW3ZLM.zh-CN.vtt	3.1 KB
02. What Makes a Bad Visual-zbvB_9f7bFs.zh-CN.vtt	3.2 KB
02. What Makes a Bad Visual-zbvB_9f7bFs.en.vtt	3.4 KB
02. What Makes a Bad Visual-zbvB_9f7bFs.pt-BR.vtt	3.4 KB
16. Shape, Size, and other Tools-fzEliHW3ZLM.en.vtt	3.6 KB
16. Shape, Size, and other Tools-fzEliHW3ZLM.pt-BR.vtt	3.8 KB
11. Design Integrity-y72_fVFtqlY.zh-CN.vtt	3.9 KB
11. Design Integrity-y72_fVFtqlY.en.vtt	4.3 KB
14. Using Color-6bAedqD3ilw.zh-CN.vtt	4.3 KB
11. Design Integrity-y72_fVFtqlY.pt-BR.vtt	4.3 KB
02. What Makes a Bad Visual-zbvB_9f7bFs.ar.vtt	4.6 KB
16. Shape, Size, and other Tools-fzEliHW3ZLM.ar.vtt	4.8 KB
14. Using Color-6bAedqD3ilw.en.vtt	4.8 KB
14. Using Color-6bAedqD3ilw.pt-BR.vtt	5.0 KB
10. Data Ink Ratio-gW2FapuYV4A.zh-CN.vtt	5.0 KB
03. L2 031 Levels Of Measurement And Types Of Data V6-3Plhn5Q4xIA.pt-BR.vtt	5.1 KB
index.html	5.1 KB
11. Design Integrity-y72_fVFtqlY.ar.vtt	5.6 KB
10. Data Ink Ratio-gW2FapuYV4A.en.vtt	5.8 KB
10. Data Ink Ratio-gW2FapuYV4A.pt-BR.vtt	5.8 KB
01. Introduction.html	6.5 KB
18. Lesson Summary.html	6.6 KB
10. Data Ink Ratio.html	7.2 KB
14. Using Color.html	7.3 KB
09. Chart Junk.html	7.4 KB
10. Data Ink Ratio-gW2FapuYV4A.ar.vtt	7.7 KB
02. What Makes a Bad Visual.html	7.7 KB
15. Designing for Color Blindness.html	7.7 KB
08. What Experts Say About Visual Encodings.html	7.9 KB
06. Data Types (Continuous vs. Discrete).html	8.4 KB
11. Design Integrity.html	9.0 KB
16. Shape, Size, Other Tools.html	9.6 KB
17. Good Visual.html	9.8 KB
03. Levels of Measurement Types of Data.html	11.7 KB
07. Identifying Data Types.html	11.9 KB
12. Bad Visual Quizzes (Part I).html	12.6 KB
13. Bad Visual Quizzes (Part II).html	12.9 KB
05. Text + Quiz Data Types (Ordinal vs. Nominal).html	13.6 KB
04. Quiz Data Types (Quantitative vs. Categorical).html	14.4 KB
01. L2 011 Intro HD V2-TlpGWQBLG6E.mp4	2.2 MB
18. L2 181 Lesson Summary HDmp4 V3-kKEeBDs4HuM.mp4	3.1 MB
15. Designing for Color Blindness-k4iTzS7t2U4.mp4	5.1 MB
09. Chart Junk-3BTBEYOG2o8.mp4	5.6 MB
16. Shape, Size, and other Tools-fzEliHW3ZLM.mp4	6.2 MB
08. What Experts Say About Visual Encodings-98aog0eVcC4.mp4	6.3 MB
02. What Makes a Bad Visual-zbvB_9f7bFs.mp4	6.4 MB
11. Design Integrity-y72_fVFtqlY.mp4	6.8 MB
03. L2 031 Levels Of Measurement And Types Of Data V6-3Plhn5Q4xIA.mp4	7.4 MB
14. Using Color-6bAedqD3ilw.mp4	8.9 MB
10. Data Ink Ratio-gW2FapuYV4A.mp4	10.3 MB
/Part 17-Module 02-Lesson 01_Concepts in Experiment Design/
05. Measuring Outcomes Pt 1-HPmMEkbT2uE.en.vtt	1.0 KB
05. Measuring Outcomes Pt 1-HPmMEkbT2uE.pt-BR.vtt	1.1 KB
10. Ethics In Experimentation Pt 2-0qcJ_oggdKw.en.vtt	1.6 KB
11. SMART Mnemonic-B0Bnxyu2aKM.en.vtt	1.6 KB
12. Conclusions-yMRRXDKb428.en.vtt	1.8 KB
10. Ethics In Experimentation Pt1-cWB1jQgcQ1g.en.vtt	2.2 KB
07. Controlling Variables-pLTneSg2MRY.en.vtt	2.4 KB
10. Ethics In Experimentation Pt3-_HTolKktaC4.en.vtt	2.5 KB
02. What Is An Experiment-fH_xF5_SDCE.en.vtt	2.5 KB
07. Controlling Variables-pLTneSg2MRY.pt-BR.vtt	2.6 KB
02. What Is An Experiment-fH_xF5_SDCE.pt-BR.vtt	2.7 KB
05. Measuring Outcomes Pt 2-yLdXcRXcfPw.en.vtt	2.9 KB
08. Checking Validity-H3H1SZXqDmQ.en.vtt	3.1 KB
04. Types Of Sampling-GF_eQqNoarI.en.vtt	3.1 KB
01. Introduction-RVcFzwBXI2M.en.vtt	3.3 KB
04. Types Of Sampling-GF_eQqNoarI.pt-BR.vtt	3.3 KB
08. Checking Validity-H3H1SZXqDmQ.pt-BR.vtt	3.4 KB
05. Measuring Outcomes Pt 2-yLdXcRXcfPw.pt-BR.vtt	3.4 KB
01. Introduction-RVcFzwBXI2M.pt-BR.vtt	3.5 KB
06. Creating Metrics-__7tzDUY870.en.vtt	4.2 KB
02. What Is An Experiment Pt 2-PYzN1usi7QY.en.vtt	4.3 KB
02. What Is An Experiment Pt 2-PYzN1usi7QY.pt-BR.vtt	4.4 KB
index.html	4.5 KB
09. Checking Bias-ppjNNY4DhPw.en.vtt	4.6 KB
06. Creating Metrics-__7tzDUY870.pt-BR.vtt	4.8 KB
09. Checking Bias-ppjNNY4DhPw.pt-BR.vtt	4.9 KB
03. Types Of Experiments-7ihDj4M7EiU.en.vtt	5.1 KB
03. Types Of Experiments-7ihDj4M7EiU.pt-BR.vtt	5.4 KB
01. Lesson Introduction.html	5.8 KB
12. Lesson Conclusion.html	6.0 KB
11. A SMART Mnemonic for Experiment Design.html	7.1 KB
07. Controlling Variables.html	8.0 KB
08. Checking Validity.html	8.2 KB
03. Types of Experiment.html	9.6 KB
04. Types of Sampling.html	10.8 KB
09. Checking Bias.html	11.3 KB
06. Creating Metrics.html	12.1 KB
05. Measuring Outcomes.html	12.6 KB
10. Ethics in Experimentation.html	15.4 KB
02. What is an Experiment.html	19.3 KB
05. Measuring Outcomes Pt 1-HPmMEkbT2uE.mp4	1.7 MB
02. What Is An Experiment-fH_xF5_SDCE.mp4	3.0 MB
04. Types Of Sampling-GF_eQqNoarI.mp4	3.5 MB
10. Ethics In Experimentation Pt 2-0qcJ_oggdKw.mp4	4.8 MB
11. SMART Mnemonic-B0Bnxyu2aKM.mp4	4.8 MB
08. Checking Validity-H3H1SZXqDmQ.mp4	4.9 MB
07. Controlling Variables-pLTneSg2MRY.mp4	4.9 MB
10. Ethics In Experimentation Pt1-cWB1jQgcQ1g.mp4	5.0 MB
12. Conclusions-yMRRXDKb428.mp4	5.4 MB
05. Measuring Outcomes Pt 2-yLdXcRXcfPw.mp4	5.4 MB
06. Creating Metrics-__7tzDUY870.mp4	5.8 MB
09. Checking Bias-ppjNNY4DhPw.mp4	6.1 MB
01. Introduction-RVcFzwBXI2M.mp4	6.7 MB
02. What Is An Experiment Pt 2-PYzN1usi7QY.mp4	7.1 MB
03. Types Of Experiments-7ihDj4M7EiU.mp4	7.9 MB
10. Ethics In Experimentation Pt3-_HTolKktaC4.mp4	8.2 MB
/img/
gif-1.gif	1.1 KB
f4.gif	1.2 KB
e.gif	1.2 KB
codecogseqn-62.gif	1.3 KB
y.gif	1.4 KB
f6.gif	1.6 KB
f2.gif	1.9 KB
f1.gif	2.1 KB
codecogseqn-61.gif	2.1 KB
m.gif	3.9 KB
l2-gradient-descent-data.png	8.9 KB
quadraticlinearregression.png	24.1 KB
just-a-simple-lin-reg.png	26.6 KB
lin-reg-w-outliers.png	28.2 KB
lin-reg-no-outliers.png	29.3 KB
just-a-2d-reg.png	70.1 KB
minibatch.png	140.0 KB
quiz.jpg	178.4 KB
batch-stochastic.png	201.6 KB
house.png	503.3 KB
/Part 02-Module 01-Lesson 07_Ensemble Methods/
07. MLND SL EM 05 Weighting The Models MAIN V1-wn6K536dPLc.pt-BR.vtt	1.2 KB
07. MLND SL EM 05 Weighting The Models MAIN V1-wn6K536dPLc.en.vtt	1.3 KB
10. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.pt-BR.vtt	2.5 KB
03. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.zh-CN.vtt	2.6 KB
03. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.pt-BR.vtt	2.6 KB
10. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.en.vtt	2.6 KB
03. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.en.vtt	2.7 KB
06. MLND SL EM 04 Weighting The Data MAIN V1 V2-O-hh_x0iYW8.en.vtt	2.8 KB
05. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.pt-BR.vtt	3.0 KB
06. MLND SL EM 04 Weighting The Data MAIN V1 V2-O-hh_x0iYW8.pt-BR.vtt	3.0 KB
05. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.en.vtt	3.0 KB
04. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.pt-BR.vtt	3.2 KB
04. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.en.vtt	3.3 KB
09. MLND SL EM 07 Weighting The Models 3 V1 MAIN V1-fecp5nmetws.en.vtt	3.5 KB
09. MLND SL EM 07 Weighting The Models 3 V1 MAIN V1-fecp5nmetws.pt-BR.vtt	3.6 KB
08. MLND SL EM 06 Weighting The Models MAIN V2-unCJ_ifVquU.en.vtt	3.8 KB
01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.en.vtt	4.0 KB
01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.pt-BR.vtt	4.0 KB
08. MLND SL EM 06 Weighting The Models MAIN V2-unCJ_ifVquU.pt-BR.vtt	4.1 KB
index.html	4.5 KB
01. Intro.html	5.9 KB
04. Bagging.html	5.9 KB
05. AdaBoost.html	5.9 KB
06. Weighting the Data.html	6.0 KB
10. Combining the Models.html	6.0 KB
09. Weighting the Models 3.html	6.0 KB
03. Random Forests.html	6.1 KB
12. More Spam Classifying.html	6.4 KB
11. AdaBoost in sklearn.html	7.3 KB
07. Weighting the Models 1.html	7.4 KB
13. Recap Additional Resources.html	8.5 KB
08. Weighting the Models 2.html	9.1 KB
02. Ensembles.html	9.5 KB
07. MLND SL EM 05 Weighting The Models MAIN V1-wn6K536dPLc.mp4	1.1 MB
05. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.mp4	2.3 MB
04. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.mp4	2.5 MB
06. MLND SL EM 04 Weighting The Data MAIN V1 V2-O-hh_x0iYW8.mp4	2.6 MB
10. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.mp4	2.8 MB
09. MLND SL EM 07 Weighting The Models 3 V1 MAIN V1-fecp5nmetws.mp4	3.0 MB
01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.mp4	3.5 MB
08. MLND SL EM 06 Weighting The Models MAIN V2-unCJ_ifVquU.mp4	3.7 MB
03. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.mp4	9.6 MB
/Part 08-Module 01-Lesson 03_Univariate Exploration of Data/
04. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.zh-CN.vtt	1.2 KB
12. DataVis L3 11 V1-C8DGwJa_adA.zh-CN.vtt	1.3 KB
12. DataVis L3 11 V1-C8DGwJa_adA.pt-BR.vtt	1.4 KB
12. DataVis L3 11 V1-C8DGwJa_adA.en.vtt	1.4 KB
04. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.en.vtt	1.4 KB
01. L3 011 Intro V3-4BpAF4MYKm8.zh-CN.vtt	1.5 KB
15. L3 141 Lesson Summary V1-7ZaSMbsJUWU.zh-CN.vtt	1.5 KB
08. L3 081 Histograms V2-RLez9L0htGQ.zh-CN.vtt	1.6 KB
04. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.pt-BR.vtt	1.7 KB
01. L3 011 Intro V3-4BpAF4MYKm8.en.vtt	1.8 KB
15. L3 141 Lesson Summary V1-7ZaSMbsJUWU.en.vtt	1.8 KB
08. L3 081 Histograms V2-RLez9L0htGQ.en.vtt	1.9 KB
01. L3 011 Intro V3-4BpAF4MYKm8.pt-BR.vtt	1.9 KB
08. L3 081 Histograms V2-RLez9L0htGQ.pt-BR.vtt	2.1 KB
15. L3 141 Lesson Summary V1-7ZaSMbsJUWU.pt-BR.vtt	2.2 KB
07. L3 071 Pie Charts V3-kSrJGJHTKV8.zh-CN.vtt	2.2 KB
12. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.zh-CN.vtt	2.6 KB
07. L3 071 Pie Charts V3-kSrJGJHTKV8.en.vtt	2.6 KB
13. DataVis L3 12 V2-fo0VIbQRBJk.zh-CN.vtt	2.7 KB
03. L3 031 Bar Charts V3-ybXcduB6cXA.zh-CN.vtt	2.8 KB
07. L3 071 Pie Charts V3-kSrJGJHTKV8.pt-BR.vtt	3.0 KB
12. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.en.vtt	3.0 KB
13. DataVis L3 12 V2-fo0VIbQRBJk.en.vtt	3.0 KB
13. DataVis L3 12 V2-fo0VIbQRBJk.pt-BR.vtt	3.2 KB
12. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.pt-BR.vtt	3.5 KB
03. L3 031 Bar Charts V3-ybXcduB6cXA.en.vtt	3.5 KB
04. DataVis L3 04 V2-HLum_ys7RJ0.zh-CN.vtt	3.5 KB
13. L3 121 Scales And Transformations V3-PE53ga2bOME.zh-CN.vtt	3.5 KB
04. DataVis L3 04 V2-HLum_ys7RJ0.en.vtt	4.1 KB
03. L3 031 Bar Charts V3-ybXcduB6cXA.pt-BR.vtt	4.1 KB
13. L3 121 Scales And Transformations V3-PE53ga2bOME.en.vtt	4.2 KB
08. DataVis L3 08 V2-f1we_0dUSXg.zh-CN.vtt	4.2 KB
04. DataVis L3 04 V2-HLum_ys7RJ0.pt-BR.vtt	4.4 KB
13. L3 121 Scales And Transformations V3-PE53ga2bOME.pt-BR.vtt	4.6 KB
index.html	5.0 KB
08. DataVis L3 08 V2-f1we_0dUSXg.en.vtt	5.0 KB
08. DataVis L3 08 V2-f1we_0dUSXg.pt-BR.vtt	5.3 KB
03. DataVis L3 03 V2-srRhFrSPdvs.zh-CN.vtt	5.6 KB
01. Introduction.html	6.5 KB
03. DataVis L3 03 V2-srRhFrSPdvs.en.vtt	6.6 KB
15. Lesson Summary.html	7.0 KB
06. Bar Chart Practice.html	7.0 KB
09. Histogram Practice.html	7.0 KB
14. Scales and Transformations Practice.html	7.0 KB
03. DataVis L3 03 V2-srRhFrSPdvs.pt-BR.vtt	7.1 KB
05. Counting Missing Data.html	8.4 KB
12. Descriptive Statistics, Outliers and Axis Limits.html	9.9 KB
02. Tidy Data.html	10.0 KB
16. Extra Kernel Density Estimation.html	10.9 KB
11. Choosing a Plot for Discrete Data.html	11.2 KB
04. Absolute vs. Relative Frequency.html	12.1 KB
07. Pie Charts.html	12.7 KB
03. Bar Charts.html	14.8 KB
13. Scales and Transformations.html	15.7 KB
08. Histograms.html	16.4 KB
17. Extra Waffle Plots.html	17.3 KB
10. Figures, Axes, and Subplots.html	19.0 KB
12. DataVis L3 11 V1-C8DGwJa_adA.mp4	1.4 MB
04. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.mp4	2.5 MB
08. L3 081 Histograms V2-RLez9L0htGQ.mp4	3.0 MB
13. DataVis L3 12 V2-fo0VIbQRBJk.mp4	3.2 MB
15. L3 141 Lesson Summary V1-7ZaSMbsJUWU.mp4	3.8 MB
01. L3 011 Intro V3-4BpAF4MYKm8.mp4	4.0 MB
04. DataVis L3 04 V2-HLum_ys7RJ0.mp4	4.5 MB
12. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.mp4	4.8 MB
13. L3 121 Scales And Transformations V3-PE53ga2bOME.mp4	5.1 MB
08. DataVis L3 08 V2-f1we_0dUSXg.mp4	5.4 MB
07. L3 071 Pie Charts V3-kSrJGJHTKV8.mp4	6.3 MB
03. L3 031 Bar Charts V3-ybXcduB6cXA.mp4	6.7 MB
03. DataVis L3 03 V2-srRhFrSPdvs.mp4	7.3 MB
/Part 03-Module 01-Lesson 06_Image Classifier Project/
01. PROJECT INTRO MAIN V2---9IFCNBM6Y.zh-CN.vtt	1.2 KB
01. PROJECT INTRO MAIN V2---9IFCNBM6Y.en.vtt	1.3 KB
01. PROJECT INTRO MAIN V2---9IFCNBM6Y.pt-BR.vtt	1.5 KB
index.html	4.5 KB
01. Project Intro.html	5.9 KB
Project Description - Create Your Own Image Classifier.html	6.0 KB
06. Image Classifier - Part 2 - Workspace.html	6.3 KB
04. Image Classifier - Part 1 - Workspace.html	6.3 KB
03. Image Classifier - Part 1 - Development.html	6.7 KB
05. Image Classifier - Part 2 - Command Line App.html	8.3 KB
07. Rubric.html	10.0 KB
Project Rubric - Create Your Own Image Classifier.html	12.6 KB
02. Introduction to GPU Workspaces.html	16.6 KB
01. PROJECT INTRO MAIN V2---9IFCNBM6Y.mp4	3.0 MB
/Part 08-Module 01-Lesson 05_Multivariate Exploration of Data/
06. L5 061 Other Adaptations Of Bivariate Plots V3-qanSZttNzFM.en.vtt	1.2 KB
06. L5 061 Other Adaptations Of Bivariate Plots V3-qanSZttNzFM.pt-BR.vtt	1.3 KB
09. L5 091 Feature Engineering V2-jpMOSFMMga4.en.vtt	1.4 KB
09. L5 091 Feature Engineering V2-jpMOSFMMga4.pt-BR.vtt	1.5 KB
05. L5 051 Faceting In Two Directions V3-lz5dcoTcV2o.en.vtt	1.6 KB
05. DataVis L5C05 V1-v19gCP4TvwE.pt-BR.vtt	1.6 KB
05. DataVis L5C05 V1-v19gCP4TvwE.en.vtt	1.6 KB
05. L5 051 Faceting In Two Directions V3-lz5dcoTcV2o.pt-BR.vtt	1.7 KB
12. L5 121 Lesson Summary V1-SOBCduyymkQ.en.vtt	1.8 KB
01. L5 011 Intro V3-ckylQMBXB10.en.vtt	1.8 KB
12. L5 121 Lesson Summary V1-SOBCduyymkQ.pt-BR.vtt	1.9 KB
01. L5 011 Intro V3-ckylQMBXB10.pt-BR.vtt	2.0 KB
08. L5 081 Plot Matrices V3-2wY-euTIE5g.en.vtt	2.5 KB
08. L5 081 Plot Matrices V3-2wY-euTIE5g.pt-BR.vtt	2.6 KB
09. DataVis L5C09 V1-xlZ9AMV6VUE.pt-BR.vtt	2.8 KB
02. L5 021 Non Positional Encodings For Third Variables V1-D91mm-qaDkk.en.vtt	2.9 KB
02. L5 021 Non Positional Encodings For Third Variables V1-D91mm-qaDkk.pt-BR.vtt	3.1 KB
03. L5 031 Color Palettes V1-nirOTWkuiSM.pt-BR.vtt	3.6 KB
06. DataVis L5C06 V2-BzzTlWHMyV0.pt-BR.vtt	3.6 KB
03. L5 031 Color Palettes V1-nirOTWkuiSM.en.vtt	3.6 KB
06. DataVis L5C06 V2-BzzTlWHMyV0.en.vtt	3.7 KB
03. DataVis L5C03 V2-iokI7HrxeNc.en.vtt	3.8 KB
03. DataVis L5C03 V2-iokI7HrxeNc.pt-BR.vtt	3.9 KB
08. DataVis L5C08 V2-fq-hakwfpZw.pt-BR.vtt	3.9 KB
index.html	4.5 KB
01. Introduction.html	5.9 KB
12. Lesson Summary.html	5.9 KB
04. Encodings Practice.html	6.4 KB
07. Adapted Plot Practice.html	6.4 KB
11. Additional Plot Practice.html	6.4 KB
02. DataVis L5C02 V3-bgDNMfG9Gfs.en.vtt	6.9 KB
02. DataVis L5C02 V3-bgDNMfG9Gfs.pt-BR.vtt	7.2 KB
10. How Much is Too Much.html	7.8 KB
09. Feature Engineering.html	8.4 KB
05. Faceting in Two Directions.html	8.8 KB
08. Plot Matrices.html	11.7 KB
06. Other Adaptations of Bivariate Plots.html	13.5 KB
02. Non-Positional Encodings for Third Variables.html	15.4 KB
03. Color Palettes.html	19.4 KB
05. DataVis L5C05 V1-v19gCP4TvwE.mp4	1.7 MB
06. L5 061 Other Adaptations Of Bivariate Plots V3-qanSZttNzFM.mp4	2.2 MB
09. L5 091 Feature Engineering V2-jpMOSFMMga4.mp4	2.3 MB
05. L5 051 Faceting In Two Directions V3-lz5dcoTcV2o.mp4	2.8 MB
09. DataVis L5C09 V1-xlZ9AMV6VUE.mp4	3.2 MB
08. L5 081 Plot Matrices V3-2wY-euTIE5g.mp4	3.3 MB
06. DataVis L5C06 V2-BzzTlWHMyV0.mp4	4.3 MB
01. L5 011 Intro V3-ckylQMBXB10.mp4	4.4 MB
03. DataVis L5C03 V2-iokI7HrxeNc.mp4	4.4 MB
12. L5 121 Lesson Summary V1-SOBCduyymkQ.mp4	4.6 MB
02. L5 021 Non Positional Encodings For Third Variables V1-D91mm-qaDkk.mp4	4.6 MB
03. L5 031 Color Palettes V1-nirOTWkuiSM.mp4	4.7 MB
08. DataVis L5C08 V2-fq-hakwfpZw.mp4	5.8 MB
02. DataVis L5C02 V3-bgDNMfG9Gfs.mp4	7.1 MB
/Part 17-Module 02-Lesson 02_Statistical Considerations in Testing/
12. Analyzing Multiple Metrics Pt 1-SNFHYbJvlZU.en.vtt	1.3 KB
15. Conclusions-3IFF1GzUq0Y.en.vtt	1.5 KB
04. Practical Significance-eJ3idt3AJ7E.en.vtt	1.7 KB
01. Intro-EBGMcpWe8-U.en.vtt	1.9 KB
12. Analyzing Multiple Metrics Pt 2-x7foG7murvU.en.vtt	1.9 KB
13. Early Stopping-taIJZMNwRsI.en.vtt	2.5 KB
07. Using Dummy Tests-rURTLjh3Hlc.en.vtt	3.3 KB
05. Experiment Size-sImRm8e01jA.en.vtt	4.1 KB
index.html	4.9 KB
01. Lesson Introduction.html	6.2 KB
15. Lesson Conclusion.html	6.2 KB
14. Early Stopping - Solution.html	6.9 KB
06. Experiment Size - Solution.html	6.9 KB
08. Non-Parametric Tests Part I.html	6.9 KB
10. Non-Parametric Tests Part II.html	6.9 KB
03. Statistical Significance - Solution.html	6.9 KB
09. Non-Parametric Tests Part I - Solution.html	6.9 KB
11. Non-Parametric Tests Part II - Solution.html	6.9 KB
07. Using Dummy Tests.html	8.1 KB
02. Practice Statistical Significance.html	8.3 KB
05. Experiment Size.html	8.8 KB
13. Early Stopping.html	8.8 KB
04. Practical Significance.html	11.1 KB
12. Analyzing Multiple Metrics.html	12.2 KB
12. Analyzing Multiple Metrics Pt 1-SNFHYbJvlZU.mp4	2.0 MB
12. Analyzing Multiple Metrics Pt 2-x7foG7murvU.mp4	2.2 MB
04. Practical Significance-eJ3idt3AJ7E.mp4	3.4 MB
15. Conclusions-3IFF1GzUq0Y.mp4	4.2 MB
13. Early Stopping-taIJZMNwRsI.mp4	5.4 MB
01. Intro-EBGMcpWe8-U.mp4	5.8 MB
07. Using Dummy Tests-rURTLjh3Hlc.mp4	6.3 MB
05. Experiment Size-sImRm8e01jA.mp4	6.4 MB
/Part 10-Module 01-Lesson 04_Add Commits To A Repo/
07. Outro-5eyvsMvAPYs.zh-CN.vtt	1.3 KB
07. Outro-5eyvsMvAPYs.en.vtt	1.4 KB
07. Outro-5eyvsMvAPYs.pt-BR.vtt	1.4 KB
07. Outro-5eyvsMvAPYs.ar.vtt	1.6 KB
01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.pt-BR.vtt	1.8 KB
01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.zh-CN.vtt	1.9 KB
01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.en.vtt	2.0 KB
01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.ar.vtt	2.6 KB
index.html	3.9 KB
07. Outro.html	5.3 KB
01. Intro.html	5.5 KB
05. Git Diff.html	8.2 KB
04. Commit Messages.html	11.5 KB
06. Having Git Ignore Files.html	13.5 KB
02. Git Add.html	21.2 KB
03. Git Commit.html	21.9 KB
07. Outro-5eyvsMvAPYs.mp4	5.2 MB
01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.mp4	7.8 MB
/Part 15-Module 01-Lesson 01_Introduction to Software Engineering/
02. L1 02 Course Overview V1 V4-v-DB0W_I2n8.en.vtt	1.3 KB
02. L1 02 Course Overview V1 V4-v-DB0W_I2n8.pt-BR.vtt	1.5 KB
03. L1 03 Meet Andrew V1 V2-IPSwDqqk2Cc.en.vtt	1.9 KB
03. L1 03 Meet Andrew V1 V2-IPSwDqqk2Cc.pt-BR.vtt	2.0 KB
01. Introduction To Software Engineering-7kphieW4yl4.en.vtt	3.2 KB
01. Introduction To Software Engineering-7kphieW4yl4.pt-BR.vtt	3.6 KB
index.html	3.8 KB
04. L1 04 Meet Juno V1 V2-c4r2nGMogfM.en.vtt	4.3 KB
04. L1 04 Meet Juno V1 V2-c4r2nGMogfM.pt-BR.vtt	4.7 KB
04. Meet Juno.html	5.1 KB
03. Meet Andrew.html	5.1 KB
01. Welcome.html	5.6 KB
02. Course Overview.html	6.9 KB
02. L1 02 Course Overview V1 V4-v-DB0W_I2n8.mp4	2.3 MB
03. L1 03 Meet Andrew V1 V2-IPSwDqqk2Cc.mp4	5.0 MB
01. Introduction To Software Engineering-7kphieW4yl4.mp4	11.5 MB
04. L1 04 Meet Juno V1 V2-c4r2nGMogfM.mp4	17.4 MB
/Part 13-Module 01-Lesson 04_The Skills That Set You Apart/
06. Outro-xj70jX9Moxs.pt-BR.vtt	1.3 KB
06. Outro-xj70jX9Moxs.en.vtt	1.3 KB
05. Richard Sharp Data Science-r0BCM6vhl0Q.pt-BR.vtt	2.2 KB
05. Richard Sharp Data Science-r0BCM6vhl0Q.en.vtt	2.3 KB
03. BMG Inspiration-ulMqa4YWbvc.pt-BR.vtt	2.4 KB
03. BMG Inspiration-ulMqa4YWbvc.en.vtt	2.5 KB
01. What Do Data Scientists Do-sN2DbIJUZmw.en.vtt	3.4 KB
01. What Do Data Scientists Do-sN2DbIJUZmw.pt-BR.vtt	3.4 KB
index.html	4.0 KB
06. Outro.html	5.2 KB
03. Interview Caroline [BMG].html	5.3 KB
04. Interview Dan [Coinbase].html	5.3 KB
01. What do Data Scientists Do.html	5.3 KB
05. Interview Richard [Starbucks].html	5.3 KB
02. Interview Robert Chang [AirBnB].html	5.4 KB
04. DSND T2 Intro Dan Frank V4-rTCPmVQDsEw.pt-BR.vtt	5.8 KB
04. DSND T2 Intro Dan Frank V4-rTCPmVQDsEw.en.vtt	5.9 KB
02. What Do Data Scientists at AirBnB Do-q7sw9vc5o1U.pt-BR.vtt	6.1 KB
02. What Do Data Scientists at AirBnB Do-q7sw9vc5o1U.en.vtt	6.4 KB
06. Outro-xj70jX9Moxs.mp4	5.8 MB
05. Richard Sharp Data Science-r0BCM6vhl0Q.mp4	9.7 MB
03. BMG Inspiration-ulMqa4YWbvc.mp4	12.1 MB
01. What Do Data Scientists Do-sN2DbIJUZmw.mp4	15.7 MB
04. DSND T2 Intro Dan Frank V4-rTCPmVQDsEw.mp4	27.1 MB
02. What Do Data Scientists at AirBnB Do-q7sw9vc5o1U.mp4	42.1 MB
/Part 01-Module 04-Lesson 01_What Is Ahead/
05. Outro-xj70jX9Moxs.pt-BR.vtt	1.3 KB
05. Outro-xj70jX9Moxs.en.vtt	1.3 KB
01. What Do Data Scientists Do-sN2DbIJUZmw.en.vtt	3.4 KB
01. What Do Data Scientists Do-sN2DbIJUZmw.pt-BR.vtt	3.4 KB
index.html	3.9 KB
04. What'S Ahead Figure 8 Fix-SE4TQnOwmBI.pt-BR.vtt	4.3 KB
02. Adam from IBM-NjjtY5UHyac.pt-BR.vtt	4.4 KB
04. What'S Ahead Figure 8 Fix-SE4TQnOwmBI.en.vtt	4.5 KB
02. Adam from IBM-NjjtY5UHyac.en.vtt	4.6 KB
05. Outro.html	5.0 KB
02. Interview Adam [IBM].html	5.1 KB
03. Interview Rachel [Kaggle].html	5.1 KB
01. What do Data Scientists Do.html	5.2 KB
04. Interview Robert [Figure8].html	5.2 KB
03. Rachel from Kaggle-uVsYYzxbyIg.pt-BR.vtt	6.2 KB
03. Rachel from Kaggle-uVsYYzxbyIg.en.vtt	6.8 KB
05. Outro-xj70jX9Moxs.mp4	5.8 MB
01. What Do Data Scientists Do-sN2DbIJUZmw.mp4	15.7 MB
04. What'S Ahead Figure 8 Fix-SE4TQnOwmBI.mp4	17.9 MB
02. Adam from IBM-NjjtY5UHyac.mp4	19.8 MB
03. Rachel from Kaggle-uVsYYzxbyIg.mp4	27.7 MB
/Part 15-Module 01-Lesson 04_Introduction to Object-Oriented Programming/
24. Binomial Class-O-4qRh74rkI.en.vtt	1.3 KB
24. Binomial Class-O-4qRh74rkI.pt-BR.vtt	1.4 KB
01. Introduction-5DfFaAl1Wmc.en.vtt	1.7 KB
01. Introduction-5DfFaAl1Wmc.pt-BR.vtt	1.8 KB
14. 13 Inheritance Example V1-uWT-HIHBjv0.pt-BR.vtt	2.0 KB
14. 13 Inheritance Example V1-uWT-HIHBjv0.en.vtt	2.0 KB
09. Gaussian Class-TVzNdFYyJIU.pt-BR.vtt	2.2 KB
09. Gaussian Class-TVzNdFYyJIU.en.vtt	2.2 KB
29. L3 21 Outro v1 V2-DStO1hBKtHQ.en.vtt	2.2 KB
12. L3 10 Magic M V1 V3-9dEsv1aNUEE.pt-BR.vtt	2.3 KB
29. L3 21 Outro v1 V2-DStO1hBKtHQ.pt-BR.vtt	2.4 KB
12. L3 10 Magic M V1 V3-9dEsv1aNUEE.en.vtt	2.4 KB
02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.en.vtt	2.4 KB
14. Inheritance-1gsrxUwPI40.pt-BR.vtt	2.5 KB
02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.pt-BR.vtt	2.5 KB
14. Inheritance-1gsrxUwPI40.en.vtt	2.7 KB
16. Inheritance Gaussian Class-XS4LQn1VA3U.pt-BR.vtt	2.9 KB
16. Inheritance Gaussian Class-XS4LQn1VA3U.en.vtt	3.0 KB
03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.en.vtt	3.3 KB
03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.pt-BR.vtt	3.3 KB
22. Virtual Environments-f7rzxUiHOJ0.en.vtt	3.3 KB
24. Binomial Class-xTamXY6Z9Kg.pt-BR.vtt	3.4 KB
22. Virtual Environments-f7rzxUiHOJ0.pt-BR.vtt	3.4 KB
24. Binomial Class-xTamXY6Z9Kg.en.vtt	3.4 KB
12. Magic Methods in Code-oDuXThOqans.pt-BR.vtt	3.9 KB
12. Magic Methods in Code-oDuXThOqans.en.vtt	4.2 KB
19. Organizing Code Into Modules-AARS10U5bbo.en.vtt	4.8 KB
10. How The Gaussian Class Works-N-5I0d1zJHI.pt-BR.vtt	4.9 KB
19. Organizing Code Into Modules-AARS10U5bbo.pt-BR.vtt	5.0 KB
10. How The Gaussian Class Works-N-5I0d1zJHI.en.vtt	5.4 KB
26. Scikitlearn Source Code-4_qkqMsbthg.en.vtt	5.7 KB
26. Scikitlearn Source Code-4_qkqMsbthg.pt-BR.vtt	5.8 KB
index.html	6.2 KB
06. Notes On OOP-NcgDIWm6iBA.pt-BR.vtt	6.2 KB
06. Notes On OOP-NcgDIWm6iBA.en.vtt	6.2 KB
04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.pt-BR.vtt	7.6 KB
21. 15 Making a Package v2-Hj2OBr1CGZM.en.vtt	7.7 KB
21. 15 Making a Package v2-Hj2OBr1CGZM.pt-BR.vtt	8.0 KB
04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.en.vtt	8.1 KB
10. How the Gaussian Class Works.html	8.2 KB
16. Inheritance Probability Distribution.html	8.2 KB
20. Demo Modularized Code.html	8.5 KB
28. Exercise Upload to PyPi.html	8.5 KB
25. Exercise Binomial Class.html	8.5 KB
13. Exercise Code Magic Methods.html	8.5 KB
11. Exercise Code the Gaussian Class.html	8.5 KB
15. Exercise Inheritance with Clothing.html	8.6 KB
05. Exercise OOP Syntax Practice - Part 1.html	8.6 KB
07. Exercise OOP Syntax Practice - Part 2.html	8.6 KB
17. Demo Inheritance Probability Distributions.html	8.6 KB
23. Exercise Making a Package and Pip Installing.html	8.6 KB
29. Lesson Summary.html	8.7 KB
12. Magic Methods.html	8.7 KB
24. Binomial Class.html	8.8 KB
26. Scikit-learn Source Code.html	9.2 KB
18. Advanced OOP Topics.html	9.2 KB
27. 20 Putting Code On PyPi V1-4uosDOKn5LI.en.vtt	9.8 KB
19. Organizing into Modules.html	9.9 KB
27. 20 Putting Code On PyPi V1-4uosDOKn5LI.pt-BR.vtt	10.2 KB
04. OOP Syntax.html	10.3 KB
14. Inheritance.html	10.3 KB
08. Commenting Object-Oriented Code.html	10.5 KB
21. Making a Package.html	10.8 KB
01. Introduction.html	11.1 KB
27. Putting Code on PyPi.html	11.4 KB
03. Class, Object, Method and Attribute.html	12.7 KB
02. Procedural vs. Object-Oriented Programming.html	13.1 KB
22. Virtual Environments.html	14.2 KB
06. A Couple of Notes about OOP.html	15.0 KB
09. A Gaussian Class.html	15.4 KB
14. 13 Inheritance Example V1-uWT-HIHBjv0.mp4	2.1 MB
22. Virtual Environments-f7rzxUiHOJ0.mp4	3.1 MB
24. Binomial Class-O-4qRh74rkI.mp4	3.6 MB
16. Inheritance Gaussian Class-XS4LQn1VA3U.mp4	3.6 MB
14. Inheritance-1gsrxUwPI40.mp4	3.7 MB
02. L3 02 Proced Vs OOP V1 V3-psXD_J8FnCQ.mp4	4.5 MB
24. Binomial Class-xTamXY6Z9Kg.mp4	4.5 MB
12. Magic Methods in Code-oDuXThOqans.mp4	4.6 MB
19. Organizing Code Into Modules-AARS10U5bbo.mp4	4.7 MB
12. L3 10 Magic M V1 V3-9dEsv1aNUEE.mp4	5.2 MB
01. Introduction-5DfFaAl1Wmc.mp4	5.6 MB
09. Gaussian Class-TVzNdFYyJIU.mp4	6.3 MB
29. L3 21 Outro v1 V2-DStO1hBKtHQ.mp4	6.5 MB
06. Notes On OOP-NcgDIWm6iBA.mp4	6.6 MB
03. L3 03 Class Obj Methods Attributes V1 1 V2-yvVMJt09HuA.mp4	6.8 MB
21. 15 Making a Package v2-Hj2OBr1CGZM.mp4	7.9 MB
10. How The Gaussian Class Works-N-5I0d1zJHI.mp4	8.5 MB
04. Object Oriented Programming Syntax-Y8ZVw1LHI8E.mp4	8.7 MB
26. Scikitlearn Source Code-4_qkqMsbthg.mp4	10.1 MB
27. 20 Putting Code On PyPi V1-4uosDOKn5LI.mp4	17.1 MB
/Part 02-Module 01-Lesson 10_Finding Donors Project/
01. ML Charity Project-aVodYHcOB8U.en.vtt	1.4 KB
01. ML Charity Project-aVodYHcOB8U.pt-BR.vtt	1.4 KB
06. Kaggle Project Final For Classroom-Ssttix340C8.pt-BR.vtt	3.0 KB
06. Kaggle Project Final For Classroom-Ssttix340C8.en.vtt	3.5 KB
index.html	4.3 KB
07. Project 1-PNsxDWtpQTk.pt-BR.vtt	5.0 KB
07. Project 1-PNsxDWtpQTk.en.vtt	5.3 KB
06. [Optional] Kaggle Competition.html	5.7 KB
05. Project Workspace.html	6.2 KB
01. Overview.html	6.5 KB
03. Starting the Project.html	6.7 KB
07. [Optional] Kaggle Competition.html	6.9 KB
04. Submitting the project.html	7.0 KB
02. Software Requirements.html	7.2 KB
Project Description - Finding Donors for CharityML.html	7.8 KB
Project Rubric - Finding Donors for CharityML.html	11.6 KB
01. ML Charity Project-aVodYHcOB8U.mp4	4.2 MB
07. Project 1-PNsxDWtpQTk.mp4	6.7 MB
06. Kaggle Project Final For Classroom-Ssttix340C8.mp4	10.6 MB
/Part 15-Module 01-Lesson 06_Web Development/
32. L4 Outro V2-8MyuJx5yu38.en.vtt	1.4 KB
19. The World Wide Web-Rxn-zCyg_iA.en.vtt	1.4 KB
32. L4 Outro V2-8MyuJx5yu38.pt-BR.vtt	1.4 KB
19. The World Wide Web-Rxn-zCyg_iA.pt-BR.vtt	1.5 KB
02. L4 Lesson Overview V2-9WQF-CCNdJ8.en.vtt	1.5 KB
02. L4 Lesson Overview V2-9WQF-CCNdJ8.pt-BR.vtt	1.6 KB
26. Flask Pandas Plotly Part3-e8owK5zk-g8.en.vtt	1.9 KB
04. The Front End-CspuxLGFM4U.en.vtt	1.9 KB
26. Flask Pandas Plotly Part3-e8owK5zk-g8.pt-BR.vtt	2.0 KB
01. L4 Intro V2--PGMIIXFCgg.en.vtt	2.0 KB
04. The Front End-CspuxLGFM4U.pt-BR.vtt	2.0 KB
01. L4 Intro V2--PGMIIXFCgg.pt-BR.vtt	2.2 KB
07. Div and Span-cbKA_dvthcY.en.vtt	2.4 KB
18. L4 The Back End V2-Esl0NL63S2c.en.vtt	2.4 KB
07. Div and Span-cbKA_dvthcY.pt-BR.vtt	2.5 KB
03. L4 Components Of A Web App V4-2aJf5sO2ox4.en.vtt	2.5 KB
03. L4 Components Of A Web App V4-2aJf5sO2ox4.pt-BR.vtt	2.7 KB
18. L4 The Back End V2-Esl0NL63S2c.pt-BR.vtt	2.8 KB
08. IDs and Classes-jnfDqdxDbO4.en.vtt	3.5 KB
08. IDs and Classes-jnfDqdxDbO4.pt-BR.vtt	3.9 KB
22. Flask and Pandas-L_M_8UVY42k.en.vtt	4.5 KB
24. Flask Pandas Plotly Part 1-xg7P8MnItdI.en.vtt	4.8 KB
22. Flask and Pandas-L_M_8UVY42k.pt-BR.vtt	4.9 KB
24. Flask Pandas Plotly Part 1-xg7P8MnItdI.pt-BR.vtt	5.1 KB
index.html	5.9 KB
20. 22 Screencast Flask V2-i_U3O-7cymk.en.vtt	6.7 KB
25. 40 Screencast Flask Pandas Plotly Part2 V2-yx-DRzMsblI.en.vtt	7.1 KB
25. 40 Screencast Flask Pandas Plotly Part2 V2-yx-DRzMsblI.pt-BR.vtt	7.2 KB
20. 22 Screencast Flask V2-i_U3O-7cymk.pt-BR.vtt	7.3 KB
12. 14 Screencast JavaScript V2-vgXUKgsT_48.pt-BR.vtt	7.6 KB
04. The Front-End.html	7.8 KB
19. The Web.html	7.9 KB
05. 6 Screencast HTML Code V2-G7fBus1JSc0.en.vtt	8.0 KB
12. 14 Screencast JavaScript V2-vgXUKgsT_48.en.vtt	8.1 KB
32. Lesson Summary.html	8.1 KB
11. Exercise CSS.html	8.3 KB
21. Exercise Flask.html	8.3 KB
06. Exercise HTML.html	8.3 KB
17. Exercise Plotly.html	8.3 KB
15. Exercise Bootstrap.html	8.3 KB
31. Exercise Deployment.html	8.3 KB
13. Exercise JavaScript.html	8.3 KB
23. Example Flask + Pandas.html	8.3 KB
28. Example Flask + Plotly + Pandas.html	8.3 KB
29. Exercise Flask + Plotly + Pandas.html	8.3 KB
09. Exercise HTML Div, Span, IDs, Classes.html	8.3 KB
05. 6 Screencast HTML Code V2-G7fBus1JSc0.pt-BR.vtt	8.3 KB
07. Div and Span.html	8.7 KB
01. Introduction.html	9.1 KB
14. Bootstrap Library.html	9.2 KB
26. Flask+Plotly+Pandas Part 3.html	9.3 KB
02. Lesson Overview.html	9.6 KB
25. Flask+Plotly+Pandas Part 2.html	9.8 KB
22. Flask + Pandas.html	10.0 KB
10. CSS-s_sdzHR9cs0.en.vtt	10.1 KB
08. IDs and Classes.html	10.1 KB
27. 40 Screencast Flask Pandas Plotly Part4 V2-4IF2G9Fehb4.en.vtt	10.3 KB
27. 40 Screencast Flask Pandas Plotly Part4 V2-4IF2G9Fehb4.pt-BR.vtt	10.4 KB
10. CSS-s_sdzHR9cs0.pt-BR.vtt	10.4 KB
18. The Backend.html	10.5 KB
27. Flask+Plotly+Pandas Part 4.html	10.5 KB
16. Plotly.html	10.5 KB
16. 18 Screencast Plotly V2-QsmOW1jNeio.pt-BR.vtt	11.1 KB
24. Flask+Plotly+Pandas Part 1.html	11.1 KB
03. Components of a Web App.html	11.8 KB
16. 18 Screencast Plotly V2-QsmOW1jNeio.en.vtt	11.9 KB
05. HTML.html	13.4 KB
20. Flask.html	13.6 KB
30. Deployment-YPfNzpnm_Rk.pt-BR.vtt	14.0 KB
30. Deployment-YPfNzpnm_Rk.en.vtt	14.1 KB
12. JavaScript.html	15.5 KB
10. CSS.html	16.5 KB
14. Bootstrap Library-KsrqjguHWUI.pt-BR.vtt	16.8 KB
30. Deployment.html	17.4 KB
14. Bootstrap Library-KsrqjguHWUI.en.vtt	18.5 KB
19. The World Wide Web-Rxn-zCyg_iA.mp4	2.1 MB
07. Div and Span-cbKA_dvthcY.mp4	3.1 MB
26. Flask Pandas Plotly Part3-e8owK5zk-g8.mp4	3.1 MB
32. L4 Outro V2-8MyuJx5yu38.mp4	3.2 MB
03. L4 Components Of A Web App V4-2aJf5sO2ox4.mp4	3.5 MB
02. L4 Lesson Overview V2-9WQF-CCNdJ8.mp4	3.8 MB
08. IDs and Classes-jnfDqdxDbO4.mp4	4.6 MB
04. The Front End-CspuxLGFM4U.mp4	5.1 MB
18. L4 The Back End V2-Esl0NL63S2c.mp4	5.5 MB
01. L4 Intro V2--PGMIIXFCgg.mp4	6.2 MB
22. Flask and Pandas-L_M_8UVY42k.mp4	6.5 MB
24. Flask Pandas Plotly Part 1-xg7P8MnItdI.mp4	7.0 MB
20. 22 Screencast Flask V2-i_U3O-7cymk.mp4	7.5 MB
25. 40 Screencast Flask Pandas Plotly Part2 V2-yx-DRzMsblI.mp4	8.3 MB
12. 14 Screencast JavaScript V2-vgXUKgsT_48.mp4	10.1 MB
05. 6 Screencast HTML Code V2-G7fBus1JSc0.mp4	10.8 MB
16. 18 Screencast Plotly V2-QsmOW1jNeio.mp4	15.5 MB
10. CSS-s_sdzHR9cs0.mp4	16.7 MB
27. 40 Screencast Flask Pandas Plotly Part4 V2-4IF2G9Fehb4.mp4	17.9 MB
30. Deployment-YPfNzpnm_Rk.mp4	20.3 MB
14. Bootstrap Library-KsrqjguHWUI.mp4	27.6 MB
/Part 03-Module 01-Lesson 02_Implementing Gradient Descent/
06. Multilayer perceptrons-Rs9petvTBLk.zh-CN.vtt	1.4 KB
02. Gradient Descent-29PmNG7fuuM.zh-CN.vtt	1.4 KB
02. Gradient Descent-29PmNG7fuuM.pt-BR.vtt	1.6 KB
02. Gradient Descent-29PmNG7fuuM.en.vtt	1.6 KB
06. Multilayer perceptrons-Rs9petvTBLk.en-US.vtt	1.7 KB
06. Multilayer perceptrons-Rs9petvTBLk.pt-BR.vtt	1.7 KB
07. Backpropagation-MZL97-2joxQ.zh-CN.vtt	2.2 KB
07. Backpropagation-MZL97-2joxQ.pt-BR.vtt	2.5 KB
07. Backpropagation-MZL97-2joxQ.en-US.vtt	2.5 KB
index.html	4.3 KB
09. Further Reading.html	5.9 KB
03. Gradient Descent The Math.html	6.1 KB
01. Mean Squared Error Function.html	6.2 KB
03. Gradient Descent-Math-7sxA5Ap8AWM.zh-CN.vtt	9.7 KB
04. Gradient Descent The Code.html	11.0 KB
03. Gradient Descent-Math-7sxA5Ap8AWM.en.vtt	11.1 KB
03. Gradient Descent-Math-7sxA5Ap8AWM.pt-BR.vtt	11.1 KB
02. Gradient Descent.html	12.9 KB
07. Backpropagation.html	19.8 KB
06. Multilayer Perceptrons.html	21.5 KB
08. Implementing Backpropagation.html	21.9 KB
05. Implementing Gradient Descent.html	27.3 KB
02. Gradient Descent-29PmNG7fuuM.mp4	2.6 MB
06. Multilayer perceptrons-Rs9petvTBLk.mp4	3.0 MB
07. Backpropagation-MZL97-2joxQ.mp4	3.6 MB
03. Gradient Descent-Math-7sxA5Ap8AWM.mp4	11.8 MB
/Part 08-Module 01-Lesson 04_Bivariate Exploration of Data/
01. L4 011 Intro V2-JzvJIWG8Rk4.zh-CN.vtt	1.4 KB
01. L4 011 Intro V2-JzvJIWG8Rk4.en.vtt	1.6 KB
07. Data Vis L4 C07 V1-f6v3L3IDo24.zh-CN.vtt	1.6 KB
01. L4 011 Intro V2-JzvJIWG8Rk4.pt-BR.vtt	1.7 KB
13. L4 131 Line Plots V1-kSntEWPuOa0.zh-CN.vtt	1.8 KB
09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.zh-CN.vtt	1.8 KB
07. Data Vis L4 C07 V1-f6v3L3IDo24.en.vtt	1.9 KB
15. L4 151 Lesson Summary V1-5igqM44KEmw.zh-CN.vtt	1.9 KB
12. Data Vis L4 C12 V2-aJncRqqJUYI.zh-CN.vtt	1.9 KB
12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.zh-CN.vtt	2.0 KB
13. L4 131 Line Plots V1-kSntEWPuOa0.en.vtt	2.0 KB
04. L4 041 Heat Maps V4-RyCdvsmBjtE.zh-CN.vtt	2.0 KB
06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.pt-BR.vtt	2.0 KB
06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.zh-CN.vtt	2.0 KB
11. L4 111 Faceting V2-oUYRqI6wFGw.zh-CN.vtt	2.0 KB
07. Data Vis L4 C07 V1-f6v3L3IDo24.pt-BR.vtt	2.1 KB
09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.en.vtt	2.1 KB
06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.en.vtt	2.1 KB
15. L4 151 Lesson Summary V1-5igqM44KEmw.en.vtt	2.2 KB
12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.en.vtt	2.3 KB
04. L4 041 Heat Maps V4-RyCdvsmBjtE.en.vtt	2.3 KB
09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.pt-BR.vtt	2.3 KB
12. Data Vis L4 C12 V2-aJncRqqJUYI.en.vtt	2.3 KB
12. Data Vis L4 C12 V2-aJncRqqJUYI.pt-BR.vtt	2.3 KB
04. L4 041 Heat Maps V4-RyCdvsmBjtE.pt-BR.vtt	2.4 KB
11. L4 111 Faceting V2-oUYRqI6wFGw.en.vtt	2.4 KB
13. L4 131 Line Plots V1-kSntEWPuOa0.pt-BR.vtt	2.5 KB
12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.pt-BR.vtt	2.5 KB
02. Data Vis L4 C02 V1-wBDC5AmYgyg.zh-CN.vtt	2.7 KB
15. L4 151 Lesson Summary V1-5igqM44KEmw.pt-BR.vtt	2.7 KB
06. Data Vis L4 C06 V2-f8Kh4PByiEA.zh-CN.vtt	2.7 KB
11. L4 111 Faceting V2-oUYRqI6wFGw.pt-BR.vtt	2.8 KB
07. L4 071 Box Plots V4-3gxJag12T0g.zh-CN.vtt	2.8 KB
11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.zh-CN.vtt	2.8 KB
09. Data Vis L4 C09 V1-OnzWhpgM9Vs.zh-CN.vtt	2.8 KB
02. Data Vis L4 C02 V1-wBDC5AmYgyg.pt-BR.vtt	2.8 KB
04. Data Vis L4 C04 V1-O6ElT4IFXc0.zh-CN.vtt	2.9 KB
02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.zh-CN.vtt	3.0 KB
03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.zh-CN.vtt	3.1 KB
02. Data Vis L4 C02 V1-wBDC5AmYgyg.en.vtt	3.1 KB
13. Data Vis L4 C13 V1-Z7NjwA6jbjU.zh-CN.vtt	3.2 KB
07. L4 071 Box Plots V4-3gxJag12T0g.en.vtt	3.2 KB
06. Data Vis L4 C06 V2-f8Kh4PByiEA.pt-BR.vtt	3.2 KB
04. Data Vis L4 C04 V1-O6ElT4IFXc0.pt-BR.vtt	3.2 KB
07. L4 071 Box Plots V4-3gxJag12T0g.pt-BR.vtt	3.2 KB
03. Data Vis L4 C03 V1-0F6ldBC6Nbs.zh-CN.vtt	3.2 KB
06. Data Vis L4 C06 V2-f8Kh4PByiEA.en.vtt	3.2 KB
09. Data Vis L4 C09 V1-OnzWhpgM9Vs.en.vtt	3.2 KB
04. Data Vis L4 C04 V1-O6ElT4IFXc0.en.vtt	3.2 KB
11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.en.vtt	3.4 KB
09. Data Vis L4 C09 V1-OnzWhpgM9Vs.pt-BR.vtt	3.4 KB
03. Data Vis L4 C03 V1-0F6ldBC6Nbs.pt-BR.vtt	3.5 KB
03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.en.vtt	3.5 KB
02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.en.vtt	3.6 KB
11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.pt-BR.vtt	3.6 KB
03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.pt-BR.vtt	3.7 KB
03. Data Vis L4 C03 V1-0F6ldBC6Nbs.en.vtt	3.7 KB
02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.pt-BR.vtt	3.8 KB
13. Data Vis L4 C13 V1-Z7NjwA6jbjU.en.vtt	3.8 KB
13. Data Vis L4 C13 V1-Z7NjwA6jbjU.pt-BR.vtt	4.0 KB
index.html	5.1 KB
01. Introduction.html	6.8 KB
15. Lesson Summary.html	7.2 KB
05. Scatterplot Practice.html	7.2 KB
14. Additional Plot Practice.html	7.2 KB
10. Categorical Plot Practice.html	7.2 KB
08. Violin and Box Plot Practice.html	7.2 KB
17. Extra Swarm Plots.html	9.2 KB
18. Extra Rug and Strip Plots.html	10.0 KB
06. Violin Plots.html	11.3 KB
02. Scatterplots and Correlation.html	11.3 KB
03. Overplotting, Transparency, and Jitter.html	11.3 KB
11. Faceting.html	12.4 KB
07. Box Plots.html	12.5 KB
04. Heat Maps.html	14.0 KB
09. Clustered Bar Charts.html	14.0 KB
12. Adaptation of Univariate Plots.html	14.5 KB
20. Extra Ridgeline Plots.html	15.0 KB
19. Extra Stacked Plots.html	16.6 KB
13. Line Plots.html	17.4 KB
16. Extra Q-Q Plots.html	18.3 KB
07. Data Vis L4 C07 V1-f6v3L3IDo24.mp4	1.9 MB
12. Data Vis L4 C12 V2-aJncRqqJUYI.mp4	2.2 MB
06. Data Vis L4 C06 V2-f8Kh4PByiEA.mp4	3.2 MB
11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.mp4	3.3 MB
04. Data Vis L4 C04 V1-O6ElT4IFXc0.mp4	3.4 MB
06. L4 061 Violin Plots 2 V3-0hr61L-LZyM.mp4	3.5 MB
01. L4 011 Intro V2-JzvJIWG8Rk4.mp4	3.5 MB
02. Data Vis L4 C02 V1-wBDC5AmYgyg.mp4	3.8 MB
09. Data Vis L4 C09 V1-OnzWhpgM9Vs.mp4	3.9 MB
13. Data Vis L4 C13 V1-Z7NjwA6jbjU.mp4	3.9 MB
03. Data Vis L4 C03 V1-0F6ldBC6Nbs.mp4	3.9 MB
13. L4 131 Line Plots V1-kSntEWPuOa0.mp4	4.0 MB
07. L4 071 Box Plots V4-3gxJag12T0g.mp4	4.2 MB
12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.mp4	4.4 MB
09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.mp4	4.4 MB
04. L4 041 Heat Maps V4-RyCdvsmBjtE.mp4	4.5 MB
11. L4 111 Faceting V2-oUYRqI6wFGw.mp4	4.9 MB
03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.mp4	4.9 MB
02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.mp4	5.5 MB
15. L4 151 Lesson Summary V1-5igqM44KEmw.mp4	5.6 MB
/Part 16-Module 03-Lesson 01_Strengthen Your Online Presence Using LinkedIn/
04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt	1.4 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt	1.5 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt	1.8 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt	2.0 KB
04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt	2.0 KB
04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt	2.0 KB
04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt	2.0 KB
04. Elevator Pitch-0QtgTG49E9I.en.vtt	2.1 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt	2.2 KB
04. Elevator Pitch-0QtgTG49E9I.ar.vtt	2.3 KB
01. Why Network-exjEm9Paszk.pt-BR.vtt	3.3 KB
01. Why Network-exjEm9Paszk.es-MX.vtt	3.3 KB
01. Why Network-exjEm9Paszk.zh-CN.vtt	3.4 KB
01. Why Network-exjEm9Paszk.en.vtt	3.5 KB
03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt	3.5 KB
03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt	3.6 KB
03. Elevator Pitch-S-nAHPrkQrQ.en.vtt	3.6 KB
03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt	3.6 KB
02. Meet Chris-0ccflD9x5WU.zh-CN.vtt	4.5 KB
02. Meet Chris-0ccflD9x5WU.pt-BR.vtt	4.6 KB
02. Meet Chris-0ccflD9x5WU.es-MX.vtt	4.6 KB
index.html	4.9 KB
02. Meet Chris-0ccflD9x5WU.en.vtt	5.0 KB
03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt	5.3 KB
01. Why Network-exjEm9Paszk.ar.vtt	5.3 KB
02. Meet Chris-0ccflD9x5WU.ar.vtt	6.5 KB
03. Why Use an Elevator Pitch.html	6.7 KB
12. Up Next.html	7.6 KB
Project Description - Improve Your LinkedIn Profile.html	7.6 KB
04. Create Your Elevator Pitch.html	7.7 KB
11. Boost Your Visibility.html	8.0 KB
02. Use Your Story to Stand Out.html	8.1 KB
10. Reaching Out on LinkedIn.html	8.8 KB
06. Create Your Profile With SEO In Mind.html	8.9 KB
08. Work Experiences Accomplishments.html	9.2 KB
05. Use Your Elevator Pitch on LinkedIn.html	9.2 KB
09. Build and Strengthen Your Network.html	10.1 KB
01. Get Opportunities with LinkedIn.html	10.7 KB
07. Profile Essentials.html	10.8 KB
Project Rubric - Improve Your LinkedIn Profile.html	16.1 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4	9.4 MB
04. Elevator Pitch-0QtgTG49E9I.mp4	10.5 MB
01. Why Network-exjEm9Paszk.mp4	18.2 MB
03. Elevator Pitch-S-nAHPrkQrQ.mp4	21.6 MB
02. Meet Chris-0ccflD9x5WU.mp4	34.1 MB
/Part 08-Module 01-Lesson 06_Explanatory Visualizations/
10. L6 131 Lesson Summary V1-t6ss31RZF34.pt-BR.vtt	1.5 KB
09. L6 10 V1 V6-LoYT4NMSPGk.pt-BR.vtt	1.6 KB
01. L6 011 Intro V1-gLy8qpursJI.pt-BR.vtt	1.6 KB
06. L6 061 Polishing Plots V3-4TixzVx79uk.pt-BR.vtt	1.7 KB
04. Same Data Different Stories-jSSnkz3QT5Y.zh-CN.vtt	1.8 KB
03. Tell A Story-_IdOUEhjVGI.zh-CN.vtt	1.8 KB
04. Same Data Different Stories-jSSnkz3QT5Y.en.vtt	1.9 KB
04. Same Data Different Stories-jSSnkz3QT5Y.pt-BR.vtt	1.9 KB
03. Tell A Story-_IdOUEhjVGI.pt-BR.vtt	1.9 KB
03. Tell A Story-_IdOUEhjVGI.en.vtt	1.9 KB
03. Tell A Story-_IdOUEhjVGI.ar.vtt	2.4 KB
04. Same Data Different Stories-jSSnkz3QT5Y.ar.vtt	2.6 KB
08. Data Vis L6 C06 V1-qIot9qrvcF8.en.vtt	3.9 KB
08. Data Vis L6 C06 V1-qIot9qrvcF8.pt-BR.vtt	4.0 KB
index.html	4.4 KB
01. Introduction.html	5.6 KB
10. Lesson Summary.html	5.9 KB
03. Tell A Story.html	6.2 KB
07. Polishing Plots Practice.html	6.2 KB
09. Getting and Using Feedback.html	6.9 KB
04. Same Data, Different Stories.html	7.0 KB
02. Revisiting the Data Analysis Process.html	7.4 KB
08. Creating a Slide Deck with Jupyter.html	11.5 KB
05. Quizzes on Data Story Telling.html	14.1 KB
06. Polishing Plots.html	14.8 KB
09. L6 10 V1 V6-LoYT4NMSPGk.mp4	3.2 MB
10. L6 131 Lesson Summary V1-t6ss31RZF34.mp4	3.6 MB
06. L6 061 Polishing Plots V3-4TixzVx79uk.mp4	3.8 MB
01. L6 011 Intro V1-gLy8qpursJI.mp4	4.1 MB
04. Same Data Different Stories-jSSnkz3QT5Y.mp4	4.9 MB
03. Tell A Story-_IdOUEhjVGI.mp4	6.3 MB
08. Data Vis L6 C06 V1-qIot9qrvcF8.mp4	6.5 MB
/Part 13-Module 01-Lesson 01_Welcome to the Data Scientist Nanodegree Program/
10. Parting Words Of Encouragement-sFF_WOnpsXM.en.vtt	1.6 KB
10. Parting Words Of Encouragement-sFF_WOnpsXM.pt-BR.vtt	1.7 KB
01. Welcome To DSND T2 V1 1 V1-ebJZrc2y85Q.pt-BR.vtt	2.2 KB
01. Welcome To DSND T2 V1 1 V1-ebJZrc2y85Q.en.vtt	2.4 KB
03. Build A Recommendation Engine IBM-A0rVwTbntf4.pt-BR.vtt	3.5 KB
07. Meet the Careers Team-cuKecPpZ7PM.en.vtt	3.7 KB
03. Build A Recommendation Engine IBM-A0rVwTbntf4.en.vtt	3.7 KB
07. Meet the Careers Team-cuKecPpZ7PM.pt-BR.vtt	3.9 KB
03. Introduction to Blogging for Data Science-WrvGpRN5XQI.en.vtt	4.0 KB
03. Introduction to Blogging for Data Science-WrvGpRN5XQI.pt-BR.vtt	4.1 KB
03. Figure 8 Project-QbLVh5GTuJQ.en.vtt	4.4 KB
index.html	4.4 KB
03. Figure 8 Project-QbLVh5GTuJQ.pt-BR.vtt	4.5 KB
03. Arvato Final Project-qBR6A0IQXEE.en.vtt	5.5 KB
06. How to Succeed.html	5.6 KB
01. Welcome.html	5.7 KB
02. Meet the Instructors.html	5.7 KB
10. Words of Encouragement.html	5.7 KB
03. Arvato Final Project-qBR6A0IQXEE.pt-BR.vtt	5.9 KB
02. Meet The Instructors-XAU2Nf51vfU.en.vtt	6.0 KB
06. L1 06 How To Succeed REPLACEMENT-JRnZOZR97QQ.en.vtt	6.0 KB
02. Meet The Instructors-XAU2Nf51vfU.pt-BR.vtt	6.2 KB
05. Learning Plan - First Two Weeks.html	6.3 KB
08. Access Your Career Portal.html	6.9 KB
07. Meet the Careers Team.html	7.0 KB
09. Your Udacity Professional Profile.html	7.8 KB
03. Term 2 Projects.html	8.7 KB
04. Program Structure Syllabus.html	9.1 KB
10. Parting Words Of Encouragement-sFF_WOnpsXM.mp4	4.9 MB
01. Welcome To DSND T2 V1 1 V1-ebJZrc2y85Q.mp4	9.5 MB
07. Meet the Careers Team-cuKecPpZ7PM.mp4	10.6 MB
03. Build A Recommendation Engine IBM-A0rVwTbntf4.mp4	14.2 MB
03. Figure 8 Project-QbLVh5GTuJQ.mp4	14.3 MB
02. Meet The Instructors-XAU2Nf51vfU.mp4	18.2 MB
03. Introduction to Blogging for Data Science-WrvGpRN5XQI.mp4	26.5 MB
03. Arvato Final Project-qBR6A0IQXEE.mp4	26.6 MB
06. L1 06 How To Succeed REPLACEMENT-JRnZOZR97QQ.mp4	28.4 MB
/Part 18-Module 01-Lesson 01_Data Scientist Capstone/
09. Capstone-bq-H7M5BU3U.en.vtt	1.6 KB
01. Capstone-jewlarqqbTo.en.vtt	3.3 KB
._04. Possible Projects.html	4.1 KB
index.html	4.8 KB
06. Arvato Final Project-qBR6A0IQXEE.en.vtt	5.5 KB
06. Arvato Final Project-qBR6A0IQXEE.pt-BR.vtt	5.9 KB
01. Introduction.html	6.0 KB
12. Dog Breed Workspace.html	6.7 KB
10. Starbucks Project Workspace.html	6.8 KB
08. BertelsmannArvato Project Workspace.html	6.8 KB
Project Description - Capstone Project.html	7.0 KB
11. Dog Breed Classifier Overview.html	7.1 KB
06. BertelsmannArvato Project Overview.html	8.5 KB
03. Software Data Requirements.html	8.5 KB
02. Project Overview.html	8.6 KB
07. Arvato Terms and Conditions.html	8.6 KB
09. Starbucks Project Overview.html	8.9 KB
04. Possible Projects.html	10.0 KB
05. Project Survey.html	10.2 KB
Project Rubric - Capstone Project.html	14.1 KB
01. Capstone-jewlarqqbTo.mp4	6.5 MB
09. Capstone-bq-H7M5BU3U.mp4	7.0 MB
06. Arvato Final Project-qBR6A0IQXEE.mp4	26.6 MB
/img/
backprop-weight-update.gif	1.7 KB
hidden-layer-weights.gif	1.8 KB
backprop-general.gif	2.3 KB
codecogseqn-2.png	2.3 KB
hidden-errors.gif	2.9 KB
weight-label-reference.gif	2.9 KB
backprop-error.gif	3.0 KB
mse.png	3.3 KB
inputs-matrix.png	5.7 KB
backprop-network.png	13.4 KB
local-minima.png	39.0 KB
multilayer-diagram-weights.png	49.7 KB
input-times-weights.png	53.1 KB
network-with-labeled-nodes.png	53.2 KB
derivative-example.png	56.4 KB
network-with-labeled-weights.png	60.9 KB
gradient-descent.png	73.7 KB
matrix-mult-3.png	80.9 KB
example-data.png	94.3 KB
admissions-data.png	121.2 KB
mat-headshot.png	184.3 KB
/Part 16-Module 02-Lesson 01_Project Disaster Response Pipeline/
02. Disaster Relief Project Preview-DuwYAjqGM3E.en.vtt	1.7 KB
02. Disaster Relief Project Preview-DuwYAjqGM3E.pt-BR.vtt	2.2 KB
index.html	4.3 KB
01. Figure 8 Project-QbLVh5GTuJQ.en.vtt	4.4 KB
01. Figure 8 Project-QbLVh5GTuJQ.pt-BR.vtt	4.5 KB
01. Project Introduction.html	5.5 KB
04. Project Workspace - ETL.html	6.1 KB
05. Project Workspace - ML Pipeline.html	6.1 KB
Project Description - Disaster Response Pipelines.html	6.2 KB
06. Project Workspace IDE.html	6.2 KB
02. Project Overview.html	9.2 KB
Project Rubric - Disaster Response Pipelines.html	11.6 KB
03. Project Details.html	12.3 KB
02. Disaster Relief Project Preview-DuwYAjqGM3E.mp4	5.6 MB
01. Figure 8 Project-QbLVh5GTuJQ.mp4	14.3 MB
/Part 19-Module 01-Lesson 01_Congratulations!/
01. Congrats-OTp4YOTDd0Q.en.vtt	1.7 KB
index.html	3.6 KB
01. Congratulations!.html	4.5 KB
01. Congrats-OTp4YOTDd0Q.mp4	6.7 MB
/img/
c03-practicalsignificance-01.png	1.8 KB
c03-practicalsignificance-02.png	2.1 KB
c03-practicalsignificance-03.png	2.3 KB
c08-multimetrics-02.png	14.0 KB
c08-multimetrics-01.png	17.4 KB
/Part 03-Module 01-Lesson 05_Deep Learning with PyTorch/
06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt	2.0 KB
06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt	2.2 KB
06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt	2.3 KB
index.html	4.4 KB
01. Instructor.html	6.0 KB
11. Transfer Learning Solution.html	6.3 KB
08. Saving and Loading Trained Networks.html	6.8 KB
03. PyTorch Tensors.html	6.8 KB
10. Transfer Learning.html	6.8 KB
05. Training Networks.html	6.8 KB
04. Defining Networks.html	6.8 KB
07. Inference Validation.html	6.9 KB
06. Fashion-MNIST Exercise.html	6.9 KB
09. Loading Data Sets with Torchvision.html	6.9 KB
02. Introducing PyTorch.html	7.5 KB
08. Py Part 6 V1-HiTih59dCWQ.en.vtt	8.0 KB
08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt	8.1 KB
09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt	8.8 KB
03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt	8.8 KB
03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt	9.6 KB
03. Part 1 V2-n4mbZYIfKb4.en.vtt	10.7 KB
09. PyTorch - Part 7-hFu7GTfRWks.en.vtt	10.9 KB
10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt	10.9 KB
09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt	11.1 KB
10. Py Part 8 V1-3eqn5sgCOsY.en.vtt	13.1 KB
10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt	13.8 KB
07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt	14.2 KB
05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt	14.9 KB
05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt	17.1 KB
07. Py Part 5 V2-coBbbrGZXI0.en.vtt	17.8 KB
07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt	18.0 KB
05. Py Part 3 V2-u8hDj5aJK6I.en.vtt	18.1 KB
04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt	19.0 KB
04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt	22.6 KB
04. Py Part 2 V1-u50_ZyKqt8g.en.vtt	23.4 KB
06. PyTorch - Part 4-AEJV_RKZ7VU.mp4	3.5 MB
03. Part 1 V2-n4mbZYIfKb4.mp4	14.5 MB
09. PyTorch - Part 7-hFu7GTfRWks.mp4	15.3 MB
08. Py Part 6 V1-HiTih59dCWQ.mp4	16.7 MB
10. Py Part 8 V1-3eqn5sgCOsY.mp4	26.1 MB
07. Py Part 5 V2-coBbbrGZXI0.mp4	28.4 MB
05. Py Part 3 V2-u8hDj5aJK6I.mp4	29.7 MB
04. Py Part 2 V1-u50_ZyKqt8g.mp4	36.3 MB
/img/
sigmoid-derivative.gif	2.1 KB
student-acceptance.png	21.0 KB
data.png	50.7 KB
regularization-quiz.png	90.0 KB
summary.png	96.0 KB
nn.png	108.5 KB
all-ranks.png	315.9 KB
/Part 11-Module 01-Lesson 02_Vectors/
02. Vectors 2-R7WiQYixvRQ.zh-CN.vtt	2.3 KB
02. Vectors 2-R7WiQYixvRQ.pt-BR.vtt	2.6 KB
02. Vectors 2-R7WiQYixvRQ.en.vtt	2.9 KB
01. Vectors 1-oPBz-MLVUHk.zh-CN.vtt	4.1 KB
01. Vectors 1-oPBz-MLVUHk.pt-BR.vtt	4.5 KB
index.html	4.6 KB
01. Vectors 1-oPBz-MLVUHk.en.vtt	4.7 KB
03. Vectors 3-mWV_MpEjz9c.zh-CN.vtt	5.1 KB
03. Vectors 3-mWV_MpEjz9c.pt-BR.vtt	5.6 KB
03. Vectors 3-mWV_MpEjz9c.en.vtt	6.0 KB
01. What's a Vector.html	6.3 KB
02. Vectors, what even are they Part 2.html	6.3 KB
03. Vectors, what even are they Part 3.html	6.3 KB
11. Scalar by Vector Multiplication.html	6.8 KB
09. Vector Addition.html	6.9 KB
08. Operations in the Field.html	7.2 KB
13. Vectors Quiz Answers.html	7.3 KB
07. Vectors- Quiz 1.html	7.7 KB
05. Transpose.html	7.8 KB
10. Vectors- Quiz 2.html	8.0 KB
06. Magnitude and Direction .html	9.1 KB
12. Vectors Quiz 3.html	9.2 KB
04. Vectors- Mathematical definition .html	9.7 KB
02. Vectors 2-R7WiQYixvRQ.mp4	2.6 MB
01. Vectors 1-oPBz-MLVUHk.mp4	5.1 MB
03. Vectors 3-mWV_MpEjz9c.mp4	6.6 MB
/Part 15-Module 01-Lesson 07_Portfolio Exercise Deploy a Data Dashboard/
04. L5 Outro-rW1YP1aSb08.en.vtt	2.4 KB
04. L5 Outro-rW1YP1aSb08.pt-BR.vtt	2.5 KB
index.html	4.3 KB
04. Congratulations.html	6.0 KB
02. Workspace Portfolio Exercise.html	6.1 KB
07. Python and APIs [advanced version].html	6.1 KB
03. Troubleshooting Possible Errors.html	6.2 KB
06. World Bank API [advanced version].html	7.7 KB
08. World Bank Data Dashboard [advanced version].html	7.7 KB
06. 44 Accessing The API Through Web Address SC 44 V2-nygWkgUQNfo.en.vtt	7.9 KB
06. 44 Accessing The API Through Web Address SC 44 V2-nygWkgUQNfo.pt-BR.vtt	8.1 KB
05. APIs [advanced version].html	9.7 KB
08. Advanced API Code Walk-through-AkqO534YooE.en.vtt	11.7 KB
08. Advanced API Code Walk-through-AkqO534YooE.pt-BR.vtt	11.9 KB
01. Introduction.html	13.7 KB
04. L5 Outro-rW1YP1aSb08.mp4	10.1 MB
08. Advanced API Code Walk-through-AkqO534YooE.mp4	18.6 MB
06. 44 Accessing The API Through Web Address SC 44 V2-nygWkgUQNfo.mp4	21.5 MB
/Part 16-Module 01-Lesson 01_Introduction to Data Engineering/
01. 01 Welcome V1 V2-Ykd7CN5dDx0.en.vtt	2.5 KB
02. Roles Of A Data Engineer-f57UbUlSDgo.en.vtt	2.5 KB
01. 01 Welcome V1 V2-Ykd7CN5dDx0.pt-BR.vtt	2.8 KB
02. Roles Of A Data Engineer-f57UbUlSDgo.pt-BR.vtt	3.0 KB
index.html	3.8 KB
03. Figure 8 Project V2-adtlHL42AuQ.en.vtt	4.0 KB
03. Figure 8 Project V2-adtlHL42AuQ.pt-BR.vtt	4.1 KB
01. Introduction to the Lesson.html	5.1 KB
02. Roles of a Data Engineer.html	5.7 KB
03. Project Preview.html	6.2 KB
01. 01 Welcome V1 V2-Ykd7CN5dDx0.mp4	8.8 MB
02. Roles Of A Data Engineer-f57UbUlSDgo.mp4	9.6 MB
03. Figure 8 Project V2-adtlHL42AuQ.mp4	13.2 MB
/Part 06-Module 01-Lesson 07_Pandas/
06. Pandas 3 V1-yhMT0X6YPFA.zh-CN.vtt	2.7 KB
06. Pandas 3 V1-yhMT0X6YPFA.en.vtt	3.0 KB
05. Pandas 2 V1-B7MuFIwboKU.zh-CN.vtt	3.1 KB
04. Pandas 1 V1-iXnYN8cnhzs.zh-CN.vtt	3.1 KB
05. Pandas 2 V1-B7MuFIwboKU.en.vtt	3.4 KB
04. Pandas 1 V1-iXnYN8cnhzs.en.vtt	3.5 KB
06. Pandas 3 V1-yhMT0X6YPFA.pt-BR.vtt	3.5 KB
04. Pandas 1 V1-iXnYN8cnhzs.pt-BR.vtt	3.9 KB
05. Pandas 2 V1-B7MuFIwboKU.pt-BR.vtt	3.9 KB
index.html	4.8 KB
12. Pandas 7 V1-ruTYp-twXO0.zh-CN.vtt	4.9 KB
12. Pandas 7 V1-ruTYp-twXO0.en.vtt	5.5 KB
09. Pandas 5 V1-lClsJnZn_7w.zh-CN.vtt	5.6 KB
10. Pandas 6 V1-GS1kj04XQcM.zh-CN.vtt	5.8 KB
09. Pandas 5 V1-lClsJnZn_7w.en.vtt	6.1 KB
08. Pandas 4 V1-eMHUn9v9dds.zh-CN.vtt	6.3 KB
10. Pandas 6 V1-GS1kj04XQcM.en.vtt	6.5 KB
12. Pandas 7 V1-ruTYp-twXO0.pt-BR.vtt	6.7 KB
01. Instructors.html	6.7 KB
14. Mini-Project Statistics From Stock Data.html	6.8 KB
13. Getting Set Up for the Mini-Project.html	6.9 KB
08. Pandas 4 V1-eMHUn9v9dds.en.vtt	7.1 KB
09. Pandas 5 V1-lClsJnZn_7w.pt-BR.vtt	7.2 KB
03. Why Use Pandas.html	7.5 KB
10. Pandas 6 V1-GS1kj04XQcM.pt-BR.vtt	7.7 KB
08. Pandas 4 V1-eMHUn9v9dds.pt-BR.vtt	8.4 KB
07. Manipulate a Series.html	8.4 KB
02. Introduction to Pandas.html	8.7 KB
04. Creating Pandas Series.html	10.4 KB
11. Manipulate a DataFrame.html	10.5 KB
06. Arithmetic Operations on Pandas Series.html	13.8 KB
05. Accessing and Deleting Elements in Pandas Series.html	14.0 KB
08. Creating Pandas DataFrames.html	22.0 KB
09. Accessing Elements in Pandas DataFrames.html	30.1 KB
10. Dealing with NaN.html	33.7 KB
12. Loading Data into a Pandas DataFrame.html	36.0 KB
06. Pandas 3 V1-yhMT0X6YPFA.mp4	3.7 MB
05. Pandas 2 V1-B7MuFIwboKU.mp4	4.0 MB
04. Pandas 1 V1-iXnYN8cnhzs.mp4	4.0 MB
08. Pandas 4 V1-eMHUn9v9dds.mp4	7.3 MB
09. Pandas 5 V1-lClsJnZn_7w.mp4	8.2 MB
10. Pandas 6 V1-GS1kj04XQcM.mp4	8.3 MB
12. Pandas 7 V1-ruTYp-twXO0.mp4	8.5 MB
/Part 05-Module 01-Lesson 01_Congratulations!/
01. Congrats!-P3MfbMs-D98.en.vtt	3.0 KB
01. Congrats!-P3MfbMs-D98.pt-BR.vtt	3.2 KB
03. Next Steps-kXMCKZ4HqsM.en.vtt	3.4 KB
04. Build A Recommendation Engine IBM-A0rVwTbntf4.pt-BR.vtt	3.5 KB
03. Next Steps-kXMCKZ4HqsM.pt-BR.vtt	3.6 KB
04. Build A Recommendation Engine IBM-A0rVwTbntf4.en.vtt	3.7 KB
index.html	3.9 KB
04. Introduction to Blogging for Data Science-WrvGpRN5XQI.en.vtt	4.0 KB
04. Introduction to Blogging for Data Science-WrvGpRN5XQI.pt-BR.vtt	4.1 KB
04. Figure 8 Project-QbLVh5GTuJQ.en.vtt	4.4 KB
04. Figure 8 Project-QbLVh5GTuJQ.pt-BR.vtt	4.5 KB
01. Congrats!.html	5.0 KB
03. What's Next.html	5.0 KB
05. Next Steps On How to Register.html	5.3 KB
02. Intro to Term 2.html	5.3 KB
04. Arvato Final Project-qBR6A0IQXEE.en.vtt	5.5 KB
04. Arvato Final Project-qBR6A0IQXEE.pt-BR.vtt	5.9 KB
04. Term 2 Projects.html	8.1 KB
03. Next Steps-kXMCKZ4HqsM.mp4	13.6 MB
01. Congrats!-P3MfbMs-D98.mp4	13.9 MB
04. Build A Recommendation Engine IBM-A0rVwTbntf4.mp4	14.2 MB
04. Figure 8 Project-QbLVh5GTuJQ.mp4	14.3 MB
04. Introduction to Blogging for Data Science-WrvGpRN5XQI.mp4	26.5 MB
04. Arvato Final Project-qBR6A0IQXEE.mp4	26.6 MB
/Part 17-Module 02-Lesson 04_Portfolio Exercise Starbucks/
01. Starbucks Lab-QPKRboscAf4.en.vtt	3.3 KB
index.html	3.7 KB
01. Introduction.html	5.2 KB
03. Workspace.html	5.4 KB
02. Overview.html	8.8 KB
01. Starbucks Lab-QPKRboscAf4.mp4	17.0 MB
/Part 04-Module 01-Lesson 06_Project Identify Customer Segments/
01. Creating Customer Segmentation Arvato Project-VCChvqoK6Go.pt-BR.vtt	3.6 KB
01. Creating Customer Segmentation Arvato Project-VCChvqoK6Go.en.vtt	3.6 KB
index.html	4.2 KB
05. Project Workspace.html	6.0 KB
01. Project Introduction.html	7.3 KB
Project Description - Identify Customer Segments with Arvato.html	7.5 KB
04. Arvato Terms and Conditions.html	7.9 KB
02. Project Overview.html	8.4 KB
Project Rubric - Identify Customer Segments with Arvato.html	11.1 KB
03. Project Details.html	11.2 KB
01. Creating Customer Segmentation Arvato Project-VCChvqoK6Go.mp4	17.2 MB
/Part 01-Module 02-Lesson 02_Get Help with Your Account/
index.html	3.6 KB
._index.html	4.1 KB
02. Support.html	5.1 KB
01. FAQ.html	5.5 KB
/Part 13-Module 01-Lesson 03_Get Help with Your Account/
index.html	3.6 KB
02. Support.html	5.1 KB
01. FAQ.html	5.5 KB
/Part 17-Module 04-Lesson 01_Recommendation Engines/
01. IBM Project Overview-XP_f64c07Gc.en.vtt	3.7 KB
index.html	4.0 KB
01. Project Introduction.html	5.1 KB
03. Project Workspace.html	5.7 KB
Project Description - Recommendations with IBM.html	7.2 KB
02. Project Details.html	9.2 KB
Project Rubric - Recommendations with IBM.html	11.2 KB
01. IBM Project Overview-XP_f64c07Gc.mp4	14.2 MB
/Part 13-Module 01-Lesson 02_Get Help from Peers and Mentors/
index.html	3.8 KB
02. Reviews.html	5.5 KB
01. What It Takes.html	5.6 KB
04. Student Hub.html	6.5 KB
03. Knowledge.html	6.9 KB
/Part 01-Module 02-Lesson 01_Get Help from Peers and Mentors/
index.html	3.8 KB
02. Reviews.html	5.5 KB
01. What It Takes.html	5.6 KB
04. Student Hub.html	6.5 KB
03. Knowledge.html	6.9 KB
/Part 06-Module 01-Lesson 06_NumPy/
03. NumPy 0 V1-vyjMs8KFHlE.zh-CN.vtt	3.8 KB
09. NumPy 5 V1-vGjI-WTnEbY.zh-CN.vtt	4.0 KB
03. NumPy 0 V1-vyjMs8KFHlE.en.vtt	4.2 KB
09. NumPy 5 V1-vGjI-WTnEbY.en.vtt	4.3 KB
09. NumPy 5 V1-vGjI-WTnEbY.pt-BR.vtt	4.5 KB
03. NumPy 0 V1-vyjMs8KFHlE.pt-BR.vtt	4.8 KB
index.html	4.9 KB
11. NumPy 6 V1-wtLRuGK0kW4.zh-CN.vtt	5.0 KB
11. NumPy 6 V1-wtLRuGK0kW4.en.vtt	5.7 KB
11. NumPy 6 V1-wtLRuGK0kW4.pt-BR.vtt	6.0 KB
04. NumPy 1 V1-EOHW29kDg7w.zh-CN.vtt	6.5 KB
07. NumPy 3 V1-Rt4aydeo9F8.zh-CN.vtt	6.5 KB
13. Getting Set Up for the Mini-Project.html	6.8 KB
14. Mini-Project Mean Normalization and Data Separation.html	7.0 KB
07. NumPy 3 V1-Rt4aydeo9F8.en.vtt	7.1 KB
01. Instructors.html	7.2 KB
04. NumPy 1 V1-EOHW29kDg7w.en.vtt	7.2 KB
12. Creating ndarrays with Broadcasting.html	7.3 KB
08. NumPy 4 V1-jeU7lLgyMms.zh-CN.vtt	7.4 KB
07. NumPy 3 V1-Rt4aydeo9F8.pt-BR.vtt	7.4 KB
10. Manipulating ndarrays.html	7.4 KB
06. Create an ndarray.html	7.6 KB
08. NumPy 4 V1-jeU7lLgyMms.en.vtt	8.2 KB
04. NumPy 1 V1-EOHW29kDg7w.pt-BR.vtt	8.3 KB
03. Why Use NumPy.html	8.5 KB
08. NumPy 4 V1-jeU7lLgyMms.pt-BR.vtt	8.6 KB
02. Introduction to NumPy.html	8.9 KB
05. NumPy 2 V1-KR3hHf9Zxxg.zh-CN.vtt	11.0 KB
05. NumPy 2 V1-KR3hHf9Zxxg.en.vtt	12.0 KB
09. Boolean Indexing, Set Operations, and Sorting.html	13.5 KB
05. NumPy 2 V1-KR3hHf9Zxxg.pt-BR.vtt	13.7 KB
08. Slicing ndarrays.html	16.6 KB
07. Accessing, Deleting, and Inserting Elements Into ndarrays.html	17.3 KB
11. Arithmetic operations and Broadcasting.html	17.7 KB
04. Creating and Saving NumPy ndarrays.html	18.4 KB
05. Using Built-in Functions to Create ndarrays.html	28.9 KB
03. NumPy 0 V1-vyjMs8KFHlE.mp4	4.6 MB
09. NumPy 5 V1-vGjI-WTnEbY.mp4	5.3 MB
11. NumPy 6 V1-wtLRuGK0kW4.mp4	6.9 MB
04. NumPy 1 V1-EOHW29kDg7w.mp4	7.9 MB
07. NumPy 3 V1-Rt4aydeo9F8.mp4	8.9 MB
08. NumPy 4 V1-jeU7lLgyMms.mp4	10.3 MB
05. NumPy 2 V1-KR3hHf9Zxxg.mp4	14.9 MB
/Part 15-Module 01-Lesson 05_Portfolio Exercise Upload a Package to PyPi/
index.html	3.8 KB
03. Workspace.html	5.4 KB
02. Troubleshooting Possible Errors.html	6.3 KB
01. Introduction.html	13.1 KB
/assets/css/
styles.css	3.9 KB
katex.min.css	22.1 KB
plyr.css	24.2 KB
jquery.mCustomScrollbar.min.css	42.8 KB
bootstrap.min.css	140.9 KB
/assets/css/fonts/
KaTeX_Size3-Regular.woff2	3.9 KB
KaTeX_Size3-Regular.woff	4.8 KB
KaTeX_Size4-Regular.woff2	5.2 KB
KaTeX_Size2-Regular.woff2	5.6 KB
KaTeX_Size1-Regular.woff2	5.8 KB
KaTeX_Size4-Regular.woff	6.5 KB
KaTeX_Size2-Regular.woff	6.7 KB
KaTeX_Size1-Regular.woff	7.0 KB
KaTeX_Size3-Regular.ttf	8.4 KB
KaTeX_Caligraphic-Regular.woff2	10.4 KB
KaTeX_Caligraphic-Bold.woff2	10.6 KB
KaTeX_Size4-Regular.ttf	11.3 KB
KaTeX_Caligraphic-Regular.woff	11.9 KB
KaTeX_Caligraphic-Bold.woff	12.1 KB
KaTeX_Script-Regular.woff2	12.3 KB
KaTeX_Size2-Regular.ttf	12.4 KB
KaTeX_Size1-Regular.ttf	13.2 KB
KaTeX_Script-Regular.woff	13.9 KB
KaTeX_SansSerif-Regular.woff2	14.0 KB
KaTeX_SansSerif-Italic.woff2	15.2 KB
KaTeX_SansSerif-Bold.woff2	16.0 KB
KaTeX_SansSerif-Regular.woff	16.8 KB
KaTeX_Typewriter-Regular.woff2	17.5 KB
KaTeX_SansSerif-Italic.woff	18.1 KB
KaTeX_Caligraphic-Regular.ttf	19.0 KB
KaTeX_SansSerif-Bold.woff	19.2 KB
KaTeX_Caligraphic-Bold.ttf	19.6 KB
KaTeX_Fraktur-Regular.woff2	19.9 KB
KaTeX_Math-BoldItalic.woff2	20.0 KB
KaTeX_Math-Italic.woff2	20.4 KB
KaTeX_Fraktur-Bold.woff2	20.5 KB
KaTeX_Typewriter-Regular.woff	20.9 KB
KaTeX_Main-BoldItalic.woff2	22.2 KB
KaTeX_Fraktur-Regular.woff	22.8 KB
KaTeX_Main-Italic.woff2	23.1 KB
KaTeX_Math-BoldItalic.woff	23.2 KB
KaTeX_Fraktur-Bold.woff	23.4 KB
KaTeX_Math-Italic.woff	23.8 KB
KaTeX_Script-Regular.ttf	24.9 KB
KaTeX_Main-BoldItalic.woff	26.2 KB
KaTeX_Main-Italic.woff	27.2 KB
KaTeX_SansSerif-Regular.ttf	30.2 KB
KaTeX_Main-Bold.woff2	30.6 KB
KaTeX_SansSerif-Italic.ttf	31.3 KB
KaTeX_Main-Regular.woff2	32.9 KB
KaTeX_AMS-Regular.woff2	33.2 KB
KaTeX_SansSerif-Bold.ttf	34.0 KB
KaTeX_Fraktur-Regular.ttf	34.7 KB
KaTeX_Fraktur-Bold.ttf	36.0 KB
KaTeX_Typewriter-Regular.ttf	36.3 KB
KaTeX_Main-Bold.woff	36.8 KB
KaTeX_Main-Regular.woff	39.4 KB
KaTeX_Math-BoldItalic.ttf	39.7 KB
KaTeX_AMS-Regular.woff	40.2 KB
KaTeX_Math-Italic.ttf	41.4 KB
KaTeX_Main-BoldItalic.ttf	44.8 KB
KaTeX_Main-Italic.ttf	48.0 KB
KaTeX_Main-Bold.ttf	61.7 KB
KaTeX_Main-Regular.ttf	70.1 KB
KaTeX_AMS-Regular.ttf	71.4 KB
/Part 14-Module 01-Lesson 03_Project Write A Data Science Blog Post/
index.html	4.0 KB
01. Blogging for Data Science-WrvGpRN5XQI.en.vtt	4.0 KB
01. Blogging for Data Science-WrvGpRN5XQI.pt-BR.vtt	4.1 KB
Project Description - Write A Data Science Blog Post.html	5.8 KB
01. Project Overview.html	7.3 KB
02. Project Motivation and Details.html	8.8 KB
Project Rubric - Write A Data Science Blog Post.html	11.2 KB
01. Blogging for Data Science-WrvGpRN5XQI.mp4	26.5 MB
/Part 11-Module 01-Lesson 01_Introduction/
index.html	4.0 KB
03. Essence of Linear Algebra.html	5.5 KB
01. Our Goal .html	5.5 KB
03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.zh-CN.vtt	6.3 KB
06. Try our workspace out!.html	6.9 KB
02. Instructors.html	6.9 KB
04. Structure of this lesson.html	7.0 KB
03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.en.vtt	7.2 KB
03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.pt-BR.vtt	7.3 KB
07. Try our workspace again!.html	8.3 KB
05. Working with Equations.html	10.2 KB
03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4	9.0 MB
/img/
l3-c16-waffleplots1.png	4.1 KB
l3-c16-waffleplots2.png	4.1 KB
l3-c08-histograms1.png	4.2 KB
l3-c12-transforms2.png	4.3 KB
l3-c08-histograms2.png	4.8 KB
l3-c05-missingdata2.png	4.8 KB
l3-c16-waffleplots4.png	5.1 KB
l3-c12-transforms4.png	5.6 KB
l3-c12-transforms3.png	5.7 KB
l3-c10-dierolls2.png	6.5 KB
l3-c08-histograms3.png	6.8 KB
l3-c03-barchart3.png	6.9 KB
l3-c03-barchart2.png	6.9 KB
l3-c03-barchart4.png	6.9 KB
l3-c03-barchart1.png	6.9 KB
l3-c11-outliers1.png	7.5 KB
l3-c10-dierolls1.png	7.8 KB
l3-c04-relfreqchart1.png	8.7 KB
l3-c09b-subplots4.png	9.5 KB
l3-c04-relfreqchart2.png	9.6 KB
l3-c05-missingdata1.png	10.2 KB
l3-c12-transforms1.png	10.8 KB
l3-c07-piecharts3.png	11.6 KB
l3-c03-barchart5.png	13.8 KB
l3-c08-histograms4.png	14.5 KB
l3-c03-barchart6.png	14.6 KB
l3-c09b-subplotsa.png	15.3 KB
l3-c16-waffleplots3.png	16.2 KB
l3-c07-piecharts2.png	19.5 KB
l3-c16-waffleplotsa.png	27.7 KB
l3-c15-kde1.png	36.8 KB
tidy-data-two.png	380.7 KB
tidy-data-one.png	399.7 KB
tidy-data-four.png	407.4 KB
tidy-data-three.png	448.1 KB
/Part 11-Module 01-Lesson 03_Linear Combination/
index.html	4.2 KB
02. Linear Combination. Part 2.html	5.9 KB
01. Linear Combination. Part 1.html	5.9 KB
01. Linear Combinations 1-fmal7UE7dEE.zh-CN.vtt	6.0 KB
02. Linear Combinations 2-RsKJNDTb8nw.zh-CN.vtt	6.5 KB
01. Linear Combinations 1-fmal7UE7dEE.en.vtt	6.9 KB
01. Linear Combinations 1-fmal7UE7dEE.pt-BR.vtt	7.2 KB
02. Linear Combinations 2-RsKJNDTb8nw.pt-BR.vtt	7.2 KB
02. Linear Combinations 2-RsKJNDTb8nw.en.vtt	7.4 KB
05. Linear Dependency .html	7.5 KB
07. Linear Combination - Quiz 2.html	7.9 KB
08. Linear Combination - Quiz 3.html	8.2 KB
04. Linear Combination -Quiz 1.html	8.4 KB
03. Linear Combination and Span.html	9.8 KB
06. Solving a Simplified Set of Equations.html	13.8 KB
01. Linear Combinations 1-fmal7UE7dEE.mp4	8.7 MB
02. Linear Combinations 2-RsKJNDTb8nw.mp4	14.9 MB
/img/
screen-shot-2018-05-22-at-12.27.22-pm.png	4.3 KB
screen-shot-2018-05-22-at-12.27.55-pm.png	4.4 KB
screen-shot-2018-05-22-at-12.25.34-pm.png	6.2 KB
screen-shot-2018-01-06-at-8.13.20-pm.png	52.0 KB
screen-shot-2018-01-06-at-9.30.27-pm.png	68.0 KB
student-data.png	94.1 KB
screen-shot-2018-01-06-at-9.41.01-pm.png	113.4 KB
recommending-apps.png	143.9 KB
table.png	196.7 KB
meme.png	214.1 KB
trees.png	307.2 KB
/Part 11-Module 01-Lesson 04_Linear Transformation and Matrices/
10. Linear Transformations 2-imtEd8M6__s.zh-CN.vtt	4.4 KB
11. Linear Transformations 3-g_yTyRwMzXU.zh-CN.vtt	4.6 KB
index.html	4.8 KB
09. Linear Transformations 1-99jYIxBRDww.zh-CN.vtt	4.8 KB
10. Linear Transformations 2-imtEd8M6__s.en.vtt	5.0 KB
11. Linear Transformations 3-g_yTyRwMzXU.en.vtt	5.2 KB
10. Linear Transformations 2-imtEd8M6__s.pt-BR.vtt	5.3 KB
11. Linear Transformations 3-g_yTyRwMzXU.pt-BR.vtt	5.3 KB
09. Linear Transformations 1-99jYIxBRDww.en.vtt	5.7 KB
09. Linear Transformations 1-99jYIxBRDww.pt-BR.vtt	5.9 KB
11. Linear Transformation and Matrices. Part 3.html	6.3 KB
10. Linear Transformation and Matrices. Part 2.html	6.5 KB
09. Linear Transformation and Matrices . Part 1.html	6.7 KB
03. Matrix Addition Quiz.html	8.1 KB
01. What is a Matrix.html	8.6 KB
02. Matrix Addition.html	8.9 KB
06. Square Matrix Multiplication Quiz.html	9.1 KB
04. Scalar Multiplication of Matrix and Quiz.html	9.3 KB
08. Matrix Multiplication Quiz.html	9.4 KB
07. Matrix Multiplication - General.html	10.3 KB
05. Multiplication of a Square Matrices.html	10.5 KB
12. Linear Transformation Quiz Answers.html	12.5 KB
10. Linear Transformations 2-imtEd8M6__s.mp4	14.1 MB
11. Linear Transformations 3-g_yTyRwMzXU.mp4	21.1 MB
09. Linear Transformations 1-99jYIxBRDww.mp4	21.8 MB
/img/
lag-1-innerquery.png	5.2 KB
lag.png	15.2 KB
lead-3.png	15.7 KB
lag-diff.png	17.4 KB
lead-diff.png	22.7 KB
screen-shot-2018-06-13-at-6.32.38-pm.png	49.7 KB
/img/
diagonal-line-1.png	5.9 KB
diagonal-line-2.png	6.8 KB
conv-dims.png	29.2 KB
pooling-dims.png	29.9 KB
grid-layer-1.png	36.1 KB
maxpool.jpeg	38.0 KB
layer-1-grid.png	46.8 KB
convolution-schematic.gif	65.2 KB
02-guide-how-transfer-learning-v3-02.png	224.5 KB
full-padding-no-strides-transposed.gif	227.1 KB
02-guide-how-transfer-learning-v3-09.png	233.5 KB
02-guide-how-transfer-learning-v3-03.png	234.4 KB
02-guide-how-transfer-learning-v3-05.png	238.1 KB
02-guide-how-transfer-learning-v3-07.png	238.9 KB
02-guide-how-transfer-learning-v3-08.png	247.4 KB
02-guide-how-transfer-learning-v3-10.png	247.6 KB
02-guide-how-transfer-learning-v3-01.png	257.3 KB
02-guide-how-transfer-learning-v3-04.png	261.3 KB
02-guide-how-transfer-learning-v3-06.png	265.3 KB
screen-shot-2016-11-24-at-12.08.11-pm.png	3.0 MB
screen-shot-2016-11-24-at-12.09.02-pm.png	3.2 MB
screen-shot-2016-11-24-at-12.09.24-pm.png	3.7 MB
/img/
jupyter-logo.png	5.9 KB
workspaces-terminal.png	48.0 KB
workspaces-jupyter.png	85.5 KB
workspaces-new.png	87.3 KB
workspaces-menu.png	96.2 KB
workspaces-notebook.png	146.3 KB
workspaces-gpu.png	149.0 KB
workspaces-submit.png	149.7 KB
/img/
l4-c04-heatmap2.png	6.9 KB
l4-c12-adaptations4.png	7.0 KB
l4-c11-faceting2.png	7.2 KB
l4-c19-stackedbars3.png	7.4 KB
l4-c03-overplotting1.png	7.6 KB
l4-c11-faceting1.png	7.7 KB
l4-c02-scatterplot1.png	8.2 KB
l4-c12-adaptations1.png	8.4 KB
l4-c09-clusteredbar4.png	9.6 KB
l4-c13-lineplot4.png	9.8 KB
l4-c09-clusteredbar2.png	10.2 KB
l4-c03-overplotting2.png	10.2 KB
l4-c09-clusteredbar1.png	10.4 KB
l4-c16-qqplot1.png	10.4 KB
l4-c12-adaptations2.png	10.5 KB
l4-c17-rugplot1.png	11.3 KB
l4-c04-heatmap3.png	11.4 KB
l4-c07-boxplot2.png	11.4 KB
l4-c09-clusteredbar3.png	11.9 KB
l4-c16-qqplot2.png	12.0 KB
l4-c09-clusteredbar5.png	12.1 KB
l4-c11-faceting3.png	12.5 KB
l4-c16-qqplot3.png	12.7 KB
l4-c19-stackedbars2.png	14.6 KB
l4-c13-lineplot2.png	14.8 KB
l4-c02-scatterplot2.png	17.3 KB
l4-c02-scatterplot3.png	18.7 KB
l4-c06-violinplot2.png	18.8 KB
l4-c13-lineplot3.png	18.9 KB
l4-c06-violinplot1.png	19.1 KB
l4-c07-boxplot3.png	19.3 KB
l4-c03-overplotting3.png	19.7 KB
l4-c19-stackedbars1.png	22.1 KB
l4-c07-boxplot1.png	23.1 KB
l4-c16-qqplot4.png	23.4 KB
l4-c06-violinplot3.png	24.6 KB
l4-c04-heatmap1.png	27.6 KB
l4-c20-ridgeline2.png	28.1 KB
l4-c17-rugplot2.png	28.6 KB
l4-c13-lineplot5.png	32.9 KB
l4-c12-adaptations3.png	33.1 KB
l4-c20-ridgeline3.png	39.8 KB
l4-c13-lineplot1.png	41.5 KB
l4-c18-swarmplot1.png	46.3 KB
l4-c20-ridgeline1.png	48.0 KB
/img/
resid-plots.gif	7.3 KB
quadraticlinearregression.png	24.1 KB
resid2.jpg	89.2 KB
screen-shot-2017-12-07-at-3.45.19-pm.png	232.6 KB
screen-shot-2018-04-29-at-10.10.52-am.png	498.7 KB
screen-shot-2017-12-07-at-3.56.39-pm.png	625.1 KB
screen-shot-2017-12-07-at-1.33.46-pm.png	632.8 KB
screen-shot-2017-12-07-at-9.43.05-am.png	632.9 KB
screen-shot-2017-12-07-at-3.48.20-pm.png	947.6 KB
/img/
6-point-likert-scale-even-survey.png	7.7 KB
challenger-good.png	21.8 KB
screen-shot-2017-09-03-at-2.28.22-pm.png	48.8 KB
screen-shot-2017-09-03-at-3.13.54-pm.png	61.9 KB
likertscale.png	81.4 KB
apple.jpg	107.9 KB
natgeo-scatter.jpg	126.7 KB
challenger2.gif	158.3 KB
pasted-image-0.png	196.4 KB
bad-viz-2.png	365.0 KB
/img/
screen-shot-2018-03-10-at-3.31.18-pm.png	8.5 KB
screen-shot-2018-03-10-at-12.47.35-am.png	54.5 KB
screen-shot-2018-03-09-at-4.07.07-pm.png	73.8 KB
business-money-pink-coins.jpg	4.7 MB
/img/
screen-shot-2018-03-28-at-4.52.09-pm.png	9.5 KB
screen-shot-2018-03-28-at-4.44.34-pm.png	31.5 KB
screen-shot-2018-03-28-at-5.11.09-pm.png	32.8 KB
screen-shot-2018-03-28-at-5.15.59-pm.png	32.9 KB
screen-shot-2018-01-26-at-11.48.02-pm.png	44.4 KB
screen-shot-2018-01-26-at-11.21.42-pm.png	45.3 KB
screen-shot-2018-01-26-at-11.16.45-pm.png	45.5 KB
screen-shot-2018-01-26-at-10.16.48-pm.png	45.6 KB
screen-shot-2018-01-29-at-11.49.47-am.png	67.0 KB
screen-shot-2018-01-29-at-11.51.35-am.png	86.3 KB
screen-shot-2018-01-26-at-11.05.49-pm.png	331.7 KB
/img/
screen-shot-2017-10-27-at-1.49.58-pm.png	11.6 KB
screen-shot-2018-07-27-at-1.24.38-pm.png	31.6 KB
udacitylogo-copy.png	38.6 KB
screen-shot-2018-08-27-at-3.50.29-pm.png	45.9 KB
screen-shot-2018-08-27-at-3.51.23-pm.png	98.3 KB
get-hired-with-the-udacity-career-portal.gif	774.9 KB
/img/
screen-shot-2017-10-27-at-1.49.58-pm.png	11.6 KB
screen-shot-2018-05-25-at-11.22.02-am.png	15.9 KB
screen-shot-2018-07-27-at-1.24.38-pm.png	31.6 KB
screen-shot-2018-06-07-at-12.02.10-pm.png	36.5 KB
udacitylogo-copy.png	38.6 KB
screen-shot-2018-05-25-at-11.27.26-am.png	58.8 KB
screen-shot-2018-05-25-at-11.27.36-am.png	160.4 KB
screen-shot-2018-08-13-at-6.26.18-pm.png	173.3 KB
screen-shot-2018-08-13-at-6.39.12-pm.png	228.2 KB
get-hired-with-the-udacity-career-portal.gif	774.9 KB
/img/
screen-shot-2017-11-10-at-2.43.00-pm.png	12.2 KB
screen-shot-2017-08-28-at-1.04.03-pm.png	18.6 KB
screen-shot-2017-08-28-at-1.47.06-pm.png	21.7 KB
screen-shot-2017-08-28-at-2.22.27-pm.png	28.8 KB
1200px-linear-regression.svg.png	39.2 KB
/img/
screen-shot-2018-07-05-at-7.30.12-pm.png	14.3 KB
/img/
screen-shot-2018-02-14-at-10.03.16-am.png	14.4 KB
screen-shot-2018-02-14-at-10.05.37-am.png	34.9 KB
screen-shot-2018-02-14-at-10.08.56-am.png	46.2 KB
screen-shot-2018-02-24-at-2.17.54-pm.png	54.2 KB
screen-shot-2018-02-24-at-2.18.30-pm.png	216.4 KB
screen-shot-2018-02-24-at-2.13.15-pm.png	287.6 KB
screen-shot-2018-02-24-at-2.16.00-pm.png	967.4 KB
/img/
step1-cd.png	15.0 KB
step5-source.png	15.6 KB
step2-pwd.png	16.8 KB
step4-alias.png	18.3 KB
step3-path.png	21.3 KB
notebook-components.png	31.0 KB
conda-environments.png	41.1 KB
step6-testrun.png	44.5 KB
slides-choose-slide-type.png	54.6 KB
magic-timeit2.png	57.5 KB
slides-cell-toolbar-menu.png	62.8 KB
notebook-shutdown.png	63.8 KB
magic-pdb.png	70.3 KB
conda-create-env.png	72.5 KB
nbconvert-example.png	75.1 KB
notebook-download.png	81.5 KB
conda-install.png	83.1 KB
magic-matplotlib.png	92.9 KB
notebook-json.png	97.6 KB
new-notebook.png	104.2 KB
notebook-server.png	105.8 KB
conda-tab.png	112.6 KB
server-shutdown.png	159.2 KB
magic-timeit.png	161.1 KB
conda-search.png	441.2 KB
/img/
step1-cd.png	15.0 KB
step5-source.png	15.6 KB
step2-pwd.png	16.8 KB
step4-alias.png	18.3 KB
step3-path.png	21.3 KB
step6-testrun.png	44.5 KB
generate-messages-output.png	318.0 KB
/img/
screen-shot-2017-11-06-at-1.14.05-pm.png	16.0 KB
/img/
iris-box-plot.png	16.2 KB
histogram-nonnormal.png	36.2 KB
screen-shot-2017-06-26-at-2.11.18-pm.png	71.9 KB
screen-shot-2017-06-26-at-3.47.37-pm.png	79.1 KB
/img/
speaking.png	17.5 KB
screen-shot-2018-09-21-at-12.02.03-pm.png	57.5 KB
screen-shot-2018-02-23-at-5.11.40-pm.png	205.5 KB
redacted-linkedinresults.png	236.3 KB
profile-pics.jpg	609.9 KB
screen-shot-2018-02-23-at-5.00.25-pm.png	772.4 KB
screen-shot-2018-09-21-at-11.36.43-am.png	1.8 MB
/img/
screen-shot-2018-02-21-at-6.41.35-pm.png	19.2 KB
img-4646.jpg	27.8 KB
cp1a9390.jpg	65.2 KB
screen-shot-2018-01-19-at-2.28.03-pm.png	92.9 KB
screen-shot-2018-04-02-at-4.25.41-pm.png	99.9 KB
screen-shot-2018-01-19-at-1.57.42-pm.png	117.0 KB
screen-shot-2018-01-19-at-1.58.00-pm.png	129.1 KB
screen-shot-2018-01-19-at-2.24.21-pm.png	224.0 KB
screen-shot-2018-01-19-at-1.05.48-pm.png	286.4 KB
screen-shot-2018-01-19-at-1.14.23-pm.png	367.2 KB
grant.png	583.6 KB
/media/
unnamed-project-desc-1.gif	19.6 KB
unnamed-project-desc-0.gif	96.8 KB
/img/
student-acceptance.png	21.0 KB
data.png	50.7 KB
summary.png	96.0 KB
meme.png	214.1 KB
all-ranks.png	315.9 KB
/img/
gmm-1d-quiz.png	27.4 KB
gmm-2d-quiz.png	80.3 KB
gmm-quiz.png	82.6 KB
external-indices-quiz.png	98.8 KB
/img/
l6-c06-polishing1.png	28.9 KB
screen-shot-2017-09-03-at-6.12.14-pm.png	31.4 KB
screen-shot-2017-09-03-at-6.34.02-pm.png	32.6 KB
l6-c08-slidedeck1.png	62.4 KB
/img/
screen-shot-2018-05-26-at-4.45.34-pm.png	36.4 KB
screen-shot-2018-05-26-at-4.59.04-pm.png	37.0 KB
screen-shot-2018-05-26-at-4.40.07-pm.png	43.0 KB
screen-shot-2018-05-26-at-7.04.15-pm.png	56.2 KB
accuracy-quiz.png	108.4 KB
email.png	152.1 KB
medical.png	191.0 KB
confusion.png	193.4 KB
recall-quiz.png	233.7 KB
screen-shot-2018-05-26-at-7.24.13-pm.png	244.0 KB
precision-quiz.png	256.8 KB
screen-shot-2018-05-26-at-7.53.22-pm.png	329.8 KB
screen-shot-2018-05-26-at-7.55.22-pm.png	334.1 KB
screen-shot-2018-05-26-at-7.55.02-pm.png	336.5 KB
fbeta.png	345.2 KB
/img/
anscombe-table.png	39.4 KB
mike-josh-bios-portraits.png	213.3 KB
/img/
ud456-l1-02-local-and-remote-repos.png	39.9 KB
ud456-l1-02-multiple-remote-repos.png	43.8 KB
ud456-l1-nav-bar-new-repo-link.png	69.8 KB
ud456-l1-project-commits.png	135.0 KB
ud456-l1-git-remote-no-remote.png	143.7 KB
ud456-l1-my-travel-plans-project.png	148.8 KB
ud456-l1-git-remote-shortname.png	150.6 KB
ud456-l1-04-commit-count-local.png	151.1 KB
ud456-l1-project-on-github-focus.png	188.2 KB
ud456-l1-project-on-github.png	190.0 KB
ud456-l1-git-remote-from-clone.png	190.7 KB
ud456-l1-git-remote-add-terminal.png	255.2 KB
ud456-l1-04-git-pull.png	333.3 KB
ud456-l1-project-push-commits.png	336.1 KB
ud456-l1-github-create-repo-page.png	339.7 KB
ud456-l1-04-commit-count-remote.png	418.5 KB
ud456-l1-project-github-no-commits.png	423.2 KB
ud456-l1-github-homepage.png	611.0 KB
ud456-l1-github-homepage-new-repo-button.png	647.8 KB
/img/
ud123-l1-terminal-config-mac.png	42.5 KB
ud123-l1-terminal-config-windows.png	95.5 KB
ud123-l1-git-course-outline.png	387.5 KB
ud123-l1-google-docs-saving-progress.gif	399.4 KB
/img/
screen-shot-2018-01-23-at-10.49.16-am.png	43.4 KB
screen-shot-2018-03-21-at-2.40.42-pm.png	49.7 KB
screen-shot-2018-01-23-at-11.30.13-am.png	95.0 KB
screen-shot-2018-01-24-at-2.27.07-pm.png	115.9 KB
screen-shot-2018-01-24-at-3.13.49-pm.png	209.5 KB
/assets/js/
jquery.mCustomScrollbar.concat.min.js	45.5 KB
bootstrap.min.js	51.0 KB
jquery-3.3.1.min.js	86.9 KB
plyr.polyfilled.min.js	129.2 KB
katex.min.js	236.8 KB
/img/
screen-shot-2017-08-11-at-11.54.30-am.png	47.8 KB
screen-shot-2017-08-11-at-3.21.34-pm.png	59.9 KB
screen-shot-2017-08-10-at-8.10.13-pm.png	69.8 KB
erd.png	82.3 KB
screen-shot-2017-08-14-at-1.12.55-pm.png	83.0 KB
screen-shot-2017-08-14-at-3.41.58-pm.png	90.8 KB
screen-shot-2017-08-14-at-4.04.44-pm.png	106.0 KB
screen-shot-2017-08-14-at-4.10.54-pm.png	107.8 KB
screen-shot-2017-08-10-at-8.23.48-pm.png	117.9 KB
screen-shot-2017-11-16-at-3.54.06-pm.png	235.3 KB
/img/
screen-shot-2018-02-01-at-12.10.40-am.png	48.7 KB
screen-shot-2018-01-30-at-4.39.42-pm.png	97.8 KB
screen-shot-2018-05-11-at-11.03.34-am.png	154.6 KB
screen-shot-2018-01-30-at-5.14.39-pm.png	225.6 KB
screen-shot-2018-02-10-at-9.00.30-pm.png	303.0 KB
screen-shot-2018-02-10-at-8.59.39-pm.png	322.0 KB
/img/
48738115.gif	48.7 KB
48741099.gif	53.6 KB
48667981.gif	53.8 KB
48698595.gif	54.3 KB
48699581.gif	56.5 KB
48742066.gif	57.7 KB
48684742.gif	58.5 KB
48687795.gif	58.7 KB
48688828.gif	59.4 KB
48693692.gif	59.9 KB
48698583.gif	62.6 KB
48695597.gif	64.8 KB
48667979.gif	72.1 KB
48750031.gif	80.5 KB
48752009.gif	84.4 KB
48667978.gif	86.5 KB
/img/
48632800.gif	48.8 KB
48746015.gif	59.4 KB
48635652.gif	59.5 KB
48204962.gif	59.7 KB
48750006.gif	60.0 KB
48738100.gif	62.5 KB
48716247.gif	64.3 KB
48632799.gif	73.1 KB
48746014.gif	74.4 KB
48750011.gif	84.0 KB
48741083.gif	84.1 KB
48736116.gif	273.8 KB
48745039.gif	298.2 KB
48665990.gif	316.7 KB
48713571.gif	1.0 MB
/img/
circle-data.png	51.1 KB
complexity.png	97.9 KB
learning-curves.png	111.6 KB
models.png	643.0 KB
/img/
screen-shot-2018-01-06-at-8.13.20-pm.png	52.0 KB
polynomial-kernel-2-quiz.png	81.5 KB
margin-geometry-images.002.jpeg	220.6 KB
margin-geometry-images.001.jpeg	231.0 KB
margin-geometry-images.003.jpeg	259.7 KB
margin-geometry-images.004.jpeg	279.4 KB
margin-geometry-images.005.jpeg	288.1 KB
screen-shot-2018-01-06-at-10.44.48-pm.png	292.3 KB
margin-geometry-images.008.jpeg	378.3 KB
screen-shot-2018-06-02-at-5.34.36-pm.png	404.1 KB
screen-shot-2018-06-02-at-6.07.54-pm.png	476.9 KB
screen-shot-2018-06-02-at-5.52.44-pm.png	804.6 KB
/img/
screen-shot-2018-02-14-at-10.47.52-am.png	52.7 KB
screen-shot-2018-02-14-at-3.59.39-pm.png	105.4 KB
screen-shot-2018-02-14-at-6.07.26-pm.png	120.3 KB
/img/
screen-shot-2017-08-04-at-6.41.07-pm.png	53.9 KB
screen-shot-2017-08-02-at-11.14.25-am.png	81.3 KB
screen-shot-2017-10-19-at-5.33.45-pm.png	82.3 KB
screen-shot-2017-08-02-at-10.48.24-pm.png	82.6 KB
/img/
48729170.gif	55.7 KB
48680638.gif	70.0 KB
48692636.gif	76.0 KB
48678737.gif	79.6 KB
48688787.gif	84.4 KB
48698525.gif	91.3 KB
48721292.gif	92.7 KB
48698526.gif	93.2 KB
48728202.gif	94.4 KB
/img/
ud123-l5-branch-current.png	55.8 KB
ud123-l5-git-log-pre-tag.png	127.7 KB
ud123-l5-git-branch-asterisk.png	138.1 KB
ud123-l5-git-tag.png	143.0 KB
ud123-l5-git-log-branches.png	147.3 KB
ud123-l5-git-branch.png	147.6 KB
ud123-l5-git-branch-sidebar.png	153.0 KB
ud123-l5-git-checkout-sidebar.png	157.9 KB
ud123-l5-changes-add-color.png	168.1 KB
ud123-l5-git-merge-sidebar.png	181.2 KB
ud123-l5-git-tag-delete.png	184.7 KB
ud123-l5-git-checkout-b-footer-master.png	188.4 KB
ud123-l5-git-merge-conflict.png	198.4 KB
ud123-l5-git-log-graph-all.png	254.4 KB
ud123-l5-git-log-decorate.png	271.7 KB
ud123-l5-editor-with-tag-message.png	287.6 KB
ud123-l5-git-merge-conflict-prep.png	311.0 KB
ud123-l5-git-merge-conflict-prep2.png	328.8 KB
ud123-l5-git-merge-conflict-indicators.png	344.0 KB
ud123-l5-merge-fast-forward.gif	609.7 KB
ud123-l5-resolve-merge-conflict.gif	8.1 MB
/img/
48720246.gif	56.6 KB
48716288.gif	60.8 KB
48632846.gif	62.1 KB
48734186.gif	70.0 KB
48652467.gif	74.5 KB
48632848.gif	81.7 KB
48641639.gif	85.1 KB
48739228.gif	86.0 KB
48716290.gif	86.8 KB
48271966.gif	88.8 KB
48734324.gif	93.0 KB
48271967.gif	98.4 KB
/img/
48741058.gif	57.4 KB
48692666.gif	61.0 KB
48739104.gif	65.4 KB
48725208.gif	70.5 KB
48692663.gif	72.3 KB
48683704.gif	72.4 KB
48697566.gif	73.0 KB
48687733.gif	73.6 KB
48678758.gif	75.3 KB
48721315.gif	75.5 KB
48658976.gif	82.1 KB
48684686.gif	93.8 KB
/img/
48292975.gif	60.2 KB
48230509.gif	61.8 KB
48480558.gif	71.0 KB
48609553.gif	72.4 KB
48629196.gif	72.6 KB
48296523.gif	73.5 KB
48709280.gif	75.7 KB
48241000.gif	76.5 KB
48686674.gif	77.6 KB
48737119.gif	79.0 KB
48230510.gif	81.1 KB
48311831.gif	82.3 KB
48240998.gif	82.5 KB
48704300.gif	82.6 KB
48011955.gif	83.9 KB
48198838.gif	84.0 KB
48198839.gif	84.8 KB
48311832.gif	84.9 KB
48445276.gif	85.2 KB
48646780.gif	85.9 KB
screen-shot-2017-08-02-at-4.57.01-pm.png	86.0 KB
48726280.gif	86.7 KB
48480561.gif	88.0 KB
48743074.gif	89.2 KB
48310768.gif	89.8 KB
48240997.gif	90.7 KB
screen-shot-2017-08-02-at-11.40.37-am.png	110.8 KB
screen-shot-2017-08-02-at-11.49.10-am.png	123.2 KB
/img/
anscombes-quartet-3.svg	60.6 KB
screen-shot-2018-01-03-at-2.23.38-pm.png	192.4 KB
screen-shot-2018-01-03-at-2.20.30-pm.png	662.9 KB
decision-tree-sketch.png	762.7 KB
/img/
full-outer-join.png	62.6 KB
full-outer-join-if-null.png	63.5 KB
left-join.png	67.9 KB
right-join.png	68.0 KB
inner-join.png	86.8 KB
/img/
points.png	64.7 KB
perceptronquiz.png	95.9 KB
xor-quiz.png	96.4 KB
meme.png	214.1 KB
xor.png	220.1 KB
and-quiz.png	272.2 KB
or-quiz.png	403.1 KB
and-to-or.png	620.7 KB
student-quiz.png	767.0 KB
/img/
ud123-l2-git-status-new-project.gif	66.9 KB
ud123-l2-git-status-blog-project.gif	72.5 KB
ud123-l2-git-init.gif	77.7 KB
ud123-l2-base-directory.png	84.6 KB
ud123-l2-new-git-project.png	109.1 KB
ud123-l2-base-directory-git-repo.png	116.3 KB
ud123-l2-git-clone.gif	150.9 KB
ud123-l2-.git-directory.png	210.7 KB
ud123-l2-course-git-blog-project-in-browser.png	991.8 KB
/img/
ud456-l2-02-clone-linked-to-fork.png	66.9 KB
ud456-l2-02-git-fork-error.png	158.7 KB
ud456-l2-03-git-shortlog-flags.png	254.4 KB
ud456-l2-03-git-log-author.png	261.5 KB
ud456-l2-04-sign-contributor-license.png	291.6 KB
ud456-l2-03-commit-with-description.png	303.2 KB
ud456-l2-03-clone-lighthouse-project.png	307.2 KB
ud456-l2-03-git-shortlog.png	325.9 KB
ud456-l2-04-submit-new-issue.png	335.0 KB
ud456-l2-04-lighthouse-contributing-file.png	348.6 KB
ud456-l2-04-new-issue-button.png	467.2 KB
ud456-l2-04-lighthouse-issues.png	517.8 KB
ud456-l2-04-issue-comments.png	595.4 KB
/img/
spam.png	69.4 KB
spamham.png	138.3 KB
meme.png	214.1 KB
/img/
ud123-l6-git-revert-post.png	75.9 KB
ud123-l6-git-revert-hard.png	97.4 KB
ud123-l6-git-revert-soft.png	98.1 KB
ud123-l6-git-revert-mixed.png	128.9 KB
ud123-l6-git-revert-prep.png	158.8 KB
/img/
disaster-response-project1.png	76.5 KB
disaster-response-project2.png	89.0 KB
screen-shot-2018-02-21-at-8.05.18-pm.png	144.8 KB
/img/
screen-shot-2017-11-07-at-2.16.14-pm.png	80.2 KB
screen-shot-2018-01-24-at-12.03.45-am.png	174.9 KB
screen-shot-2018-11-19-at-11.32.05-am.png	533.6 KB
screen-shot-2017-11-07-at-2.18.27-pm.png	852.0 KB
screen-shot-2017-11-07-at-2.17.08-pm.png	903.8 KB
/img/
screen-shot-2018-09-14-at-2.25.01-pm.png	81.2 KB
screen-shot-2018-09-14-at-10.11.13-am.png	242.6 KB
screen-shot-2018-09-13-at-6.32.03-pm.png	246.0 KB
screen-shot-2018-09-14-at-10.16.10-am.png	253.6 KB
/img/
regularization-quiz.png	90.0 KB
screen-shot-2018-03-19-at-3.49.28-pm.png	482.9 KB
/img/
ud456-l3-03-fetch-upstream-changes.png	90.2 KB
ud456-l3-03-git-remotes-origin.png	91.4 KB
ud456-l3-03-add-upstream-remote.png	141.2 KB
ud456-l3-03-git-log-of-upstream-changes.png	147.2 KB
ud456-l3-03-rename-repos.png	156.9 KB
ud456-l3-03-starred-repos.png	444.3 KB
ud456-l3-03-watched-repos.png	461.7 KB
ud456-l3-04-pull-request-comment.png	532.1 KB
/media/
New-Starbucks-Logo-1200x969.jpg	91.2 KB
/img/
screen-shot-2018-08-11-at-12.54.48-pm.png	101.0 KB
screen-shot-2018-08-11-at-12.52.03-pm.png	156.3 KB
screen-shot-2018-08-07-at-6.02.41-pm.png	177.3 KB
screen-shot-2018-08-11-at-12.52.21-pm.png	222.5 KB
screen-shot-2018-08-07-at-4.35.30-pm.png	225.6 KB
collage2.png	959.2 KB
new-pymk-925x1024.png	978.5 KB
/img/
ud123-l3-git-log-p.png	112.7 KB
ud123-l3-git-status-output.png	178.4 KB
ud123-l3-git-log-stat.gif	211.7 KB
ud123-l3-git-log-p-lines-removed-annotated.png	272.3 KB
ud123-l3-git-log-output.png	293.3 KB
ud123-l3-git-log-vs-git-log-stat.png	414.0 KB
ud123-l3-project-in-editor.png	501.8 KB
ud123-l3-git-log-vs-git-log-oneline.png	516.7 KB
/img/
ud123-l4-new-git-project.png	113.1 KB
ud123-l4-git-commit-terminal-hangs.png	113.7 KB
ud123-l4-git-status.png	171.6 KB
ud123-l4-git-diff.png	183.8 KB
ud123-l4-git-commit-finished.png	189.1 KB
ud123-l4-git-gitignore.png	196.0 KB
ud123-l4-git-status-all-files.png	196.5 KB
ud123-l4-git-ignore-word-doc.png	197.4 KB
ud123-l4-git-status-modified-files.png	213.5 KB
ud123-l4-git-status-after-git-add.png	227.6 KB
ud123-l4-git-status-with-untracked.png	228.3 KB
ud123-l4-git-commit-editor.png	320.6 KB
ud123-l4-git-commit-initial-commit.png	326.3 KB
ud123-l4-git-add.gif	361.2 KB
ud123-l4-git-commit-details-section.png	373.2 KB
ud123-l4-git-add-to-staging-recap.gif	2.1 MB
/img/
screen-shot-2018-11-09-at-7.38.47-pm.png	113.2 KB
screen-shot-2018-11-09-at-7.49.34-pm.png	244.7 KB
screen-shot-2018-11-09-at-7.49.50-pm.png	384.6 KB
screen-shot-2018-11-09-at-7.48.22-pm.png	1.6 MB
/img/
screen-shot-2018-11-09-at-7.38.47-pm.png	113.2 KB
screen-shot-2018-11-09-at-7.49.34-pm.png	244.7 KB
screen-shot-2018-11-09-at-7.49.50-pm.png	384.6 KB
screen-shot-2018-11-09-at-7.48.22-pm.png	1.6 MB
/img/
screen-shot-2018-07-19-at-4.06.55-pm.png	133.1 KB
screen-shot-2018-07-19-at-4.05.25-pm.png	206.1 KB
/img/
screen-shot-2018-09-17-at-3.40.30-pm.png	145.0 KB
/media/
command+palette.mp4	173.2 KB
conda_install.mp4	206.6 KB
notebook+interface.mp4	220.6 KB
Markdown+cells.mp4	338.3 KB
conda_default_install.mp4	609.6 KB
/img/
eeg-ica.png	175.0 KB
/img/
mat-headshot.png	184.3 KB
/img/
screen-shot-2018-11-07-at-9.55.40-pm.png	227.5 KB
image8.png	233.5 KB
screen-shot-2018-11-09-at-6.28.07-pm.png	307.2 KB
screen-shot-2018-11-07-at-10.23.07-pm.png	374.8 KB
image4.png	446.9 KB
screen-shot-2018-11-07-at-9.59.16-pm.png	541.9 KB
/img/
screen-shot-2018-11-07-at-9.55.40-pm.png	227.5 KB
image8.png	233.5 KB
screen-shot-2018-11-09-at-6.28.07-pm.png	307.2 KB
screen-shot-2018-11-07-at-10.23.07-pm.png	374.8 KB
image4.png	446.9 KB
screen-shot-2018-11-07-at-9.59.16-pm.png	541.9 KB
/img/
screen-shot-2017-11-16-at-3.54.06-pm.png	235.3 KB
/img/
3050008540.gif	245.8 KB
3009678880.gif	254.3 KB
3016088789.gif	263.8 KB
3023678781.gif	264.5 KB
3007188710.gif	268.6 KB
3004608562.gif	309.1 KB
3017398561.gif	314.2 KB
3007308918.gif	315.2 KB
3031238602.gif	334.9 KB
3022138739.gif	342.5 KB
3041298589.gif	343.3 KB
3022688695.gif	359.5 KB
3016528680.gif	363.9 KB
3006898966.gif	374.7 KB
3021738574.gif	384.0 KB
3043028606.gif	418.0 KB
3039578581.gif	426.6 KB
3030118734.gif	471.1 KB
/img/
screen-shot-2018-03-19-at-3.21.24-pm.png	348.1 KB
screen-shot-2018-03-19-at-2.30.59-pm.png	519.6 KB
/img/
screen-shot-2018-03-19-at-3.21.24-pm.png	348.1 KB
screen-shot-2018-03-19-at-2.30.59-pm.png	519.6 KB
/img/
mat-leonard-circle.png	394.2 KB
6551597473.gif	455.0 KB
6499079068.gif	456.6 KB
6485174133.gif	469.1 KB
6509638772.gif	728.1 KB
/img/
screen-shot-2018-03-19-at-2.49.57-pm.png	453.1 KB
/assets/img/
udacimak.png	472.1 KB
/img/
screen-shot-2018-03-19-at-2.30.59-pm.png	519.6 KB
/img/
screen-shot-2018-05-29-at-4.19.03-pm.png	1.4 MB
screen-shot-2018-05-29-at-4.06.53-pm.png	1.8 MB
Total files 8794