CourseClub ME Udacity Machine Learning Engineer Nanodegree v2 | C1373EBC1FEBC567F7E74368E9B86430A45DB89A

CourseClub ME Udacity Machine Learning Engineer Nanodegree v2

Name	[CourseClub.ME] Udacity - Machine Learning Engineer Nanodegree v2.0.0	DOWNLOAD Copy Link
Total Size	3.9 GB
Total Files	3486
Hash	C1373EBC1FEBC567F7E74368E9B86430A45DB89A

/Part 01-Module 01-Lesson 01_Welcome to Machine Learning/
01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.en.vtt	4.5 KB
01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.mp4	28.3 MB
01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.pt-BR.vtt	4.8 KB
01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.zh-CN.vtt	4.0 KB
01. Welcome to the Machine Learning Engineer Nanodegree Program.html	6.8 KB
02. Projects You Will Build.html	7.5 KB
03. Program Structure.html	8.7 KB
04. Udacity Support.html	10.3 KB
05. Community Guidelines.html	8.5 KB
06. Program Readiness.html	6.9 KB
index.html	4.7 KB
/img/
1-14-machine-learning-and-stanley2x.jpg	124.9 KB
project-prep-create-your-portfolio-2.png	19.8 KB
screen-shot-2018-06-12-at-5.07.10-pm.png	263.6 KB
semi-supervised-learning.jpg	37.7 KB
/Part 01-Module 01-Lesson 02_What is Machine Learning/
01. Introduction-bYeteZQrUcE.en.vtt	2.4 KB
01. Introduction-bYeteZQrUcE.mp4	16.8 MB
01. Introduction-bYeteZQrUcE.pt-BR.vtt	2.5 KB
01. Introduction-bYeteZQrUcE.zh-CN.vtt	2.1 KB
01. What Is Machine Learning.html	7.8 KB
02. Decision Trees Question-1RonLycEJ34.en.vtt	1.2 KB
02. Decision Trees Question-1RonLycEJ34.mp4	5.1 MB
02. Decision Trees Question-1RonLycEJ34.pt-BR.vtt	1.1 KB
02. Decision Trees Question-1RonLycEJ34.zh-CN.vtt	1.1 KB
02. Decision Trees.html	7.9 KB
03. Decision Trees Quiz.html	8.3 KB
04. Decision Trees Answer-h8zH47iFhCo.en.vtt	2.7 KB
04. Decision Trees Answer-h8zH47iFhCo.mp4	13.3 MB
04. Decision Trees Answer-h8zH47iFhCo.pt-BR.vtt	2.7 KB
04. Decision Trees Answer-h8zH47iFhCo.zh-CN.vtt	2.6 KB
04. Decision Trees Answer.html	7.9 KB
05. Naive Bayes Quiz-jsLkVYXmr3E.en.vtt	1.8 KB
05. Naive Bayes Quiz-jsLkVYXmr3E.mp4	10.6 MB
05. Naive Bayes Quiz-jsLkVYXmr3E.pt-BR.vtt	1.8 KB
05. Naive Bayes Quiz-jsLkVYXmr3E.zh-CN.vtt	1.7 KB
05. Naive Bayes.html	7.8 KB
06. Naive Bayes Quiz.html	8.5 KB
07. Naive Bayes Answer-YKN-fjuZ1VU.en.vtt	1.7 KB
07. Naive Bayes Answer-YKN-fjuZ1VU.mp4	2.4 MB
07. Naive Bayes Answer-YKN-fjuZ1VU.pt-BR.vtt	1.7 KB
07. Naive Bayes Answer-YKN-fjuZ1VU.zh-CN.vtt	1.6 KB
07. Naive Bayes Answer.html	7.8 KB
08. Gradient Descent-BEC0uH1fuGU.en.vtt	1.6 KB
08. Gradient Descent-BEC0uH1fuGU.mp4	2.6 MB
08. Gradient Descent-BEC0uH1fuGU.pt-BR.vtt	1.6 KB
08. Gradient Descent-BEC0uH1fuGU.zh-CN.vtt	1.4 KB
08. Gradient Descent.html	7.8 KB
09. Linear Regression Question-sf51L0RN6zc.en.vtt	1.5 KB
09. Linear Regression Question-sf51L0RN6zc.mp4	1.8 MB
09. Linear Regression Question-sf51L0RN6zc.pt-BR.vtt	1.5 KB
09. Linear Regression Question-sf51L0RN6zc.zh-CN.vtt	1.5 KB
09. Linear Regression Quiz.html	8.8 KB
10. Linear Regression Answer-L5QBqYDNJn0.en.vtt	5.3 KB
10. Linear Regression Answer-L5QBqYDNJn0.mp4	4.7 MB
10. Linear Regression Answer-L5QBqYDNJn0.pt-BR.vtt	4.9 KB
10. Linear Regression Answer-L5QBqYDNJn0.zh-CN.vtt	4.8 KB
10. Linear Regression Answer.html	7.9 KB
11. Logistic Regression Question-wQXKdeVHTmc.en.vtt	2.3 KB
11. Logistic Regression Question-wQXKdeVHTmc.mp4	3.1 MB
11. Logistic Regression Question-wQXKdeVHTmc.pt-BR.vtt	2.1 KB
11. Logistic Regression Question-wQXKdeVHTmc.zh-CN.vtt	1.9 KB
11. Logistic Regression Quiz.html	8.6 KB
12. Logistic Regression Answer-JuAJd9Qvs6U.en.vtt	6.1 KB
12. Logistic Regression Answer-JuAJd9Qvs6U.mp4	6.4 MB
12. Logistic Regression Answer-JuAJd9Qvs6U.pt-BR.vtt	6.1 KB
12. Logistic Regression Answer-JuAJd9Qvs6U.zh-CN.vtt	5.5 KB
12. Logistic Regression Answer.html	7.9 KB
13. SVM Question-Fwnjx0s_AIw.en.vtt	0.6 KB
13. SVM Question-Fwnjx0s_AIw.mp4	609.8 KB
13. SVM Question-Fwnjx0s_AIw.pt-BR.vtt	0.5 KB
13. SVM Question-Fwnjx0s_AIw.zh-CN.vtt	0.6 KB
13. Support Vector Machines.html	7.8 KB
14. Support Vector Machines Quiz.html	8.3 KB
15. SVM Answer-JrUtTwfnsfM.en.vtt	3.1 KB
15. SVM Answer-JrUtTwfnsfM.mp4	3.4 MB
15. SVM Answer-JrUtTwfnsfM.pt-BR.vtt	2.9 KB
15. SVM Answer-JrUtTwfnsfM.zh-CN.vtt	2.9 KB
15. Support Vector Machines Answer.html	7.8 KB
16. Neural Networks-xFu1_2K2D2U.en.vtt	10.4 KB
16. Neural Networks-xFu1_2K2D2U.mp4	10.2 MB
16. Neural Networks-xFu1_2K2D2U.pt-BR.vtt	10.0 KB
16. Neural Networks-xFu1_2K2D2U.zh-CN.vtt	9.9 KB
16. Neural Networks.html	7.8 KB
17. Kernel Method Quiz-x0JqH6-Dhvw.en.vtt	3.0 KB
17. Kernel Method Quiz-x0JqH6-Dhvw.mp4	3.2 MB
17. Kernel Method Quiz-x0JqH6-Dhvw.pt-BR.vtt	2.7 KB
17. Kernel Method Quiz-x0JqH6-Dhvw.zh-CN.vtt	2.8 KB
17. Kernel Method.html	7.8 KB
18. Kernel Method Quiz.html	8.4 KB
19. Kernel Method Answer-dRFd6HaAXys.en.vtt	4.9 KB
19. Kernel Method Answer-dRFd6HaAXys.mp4	6.7 MB
19. Kernel Method Answer-dRFd6HaAXys.pt-BR.vtt	5.4 KB
19. Kernel Method Answer-dRFd6HaAXys.zh-CN.vtt	4.6 KB
19. Kernel Method Answer.html	7.9 KB
20. Recap and Challenge-ecREasTrKu4.en.vtt	1.5 KB
20. Recap and Challenge-ecREasTrKu4.mp4	2.4 MB
20. Recap and Challenge-ecREasTrKu4.pt-BR.vtt	1.5 KB
20. Recap and Challenge-ecREasTrKu4.zh-CN.vtt	1.4 KB
20. Recap and Challenge.html	7.9 KB
21. K-means Clustering-pv_i08zjpQw.en.vtt	3.9 KB
21. K-means Clustering-pv_i08zjpQw.mp4	13.8 MB
21. K-means Clustering-pv_i08zjpQw.pt-BR.vtt	3.5 KB
21. K-means Clustering-pv_i08zjpQw.zh-CN.vtt	3.7 KB
21. K-means Clustering.html	7.9 KB
22. Hierarchical Clustering-1PldDT8AwMA.en.vtt	2.2 KB
22. Hierarchical Clustering-1PldDT8AwMA.mp4	8.9 MB
22. Hierarchical Clustering-1PldDT8AwMA.pt-BR.vtt	2.1 KB
22. Hierarchical Clustering-1PldDT8AwMA.zh-CN.vtt	2.2 KB
22. Hierarchical Clustering.html	7.9 KB
23. Conclusion-hJEuaOUu2yA.en.vtt	1.9 KB
23. Conclusion-hJEuaOUu2yA.mp4	10.2 MB
23. Conclusion-hJEuaOUu2yA.pt-BR.vtt	1.9 KB
23. Conclusion-hJEuaOUu2yA.zh-CN.vtt	1.8 KB
23. Summary.html	7.7 KB
index.html	6.0 KB
/img/
decision-trees.png	119.9 KB
kernel-trick.png	101.2 KB
naive-bayes-quiz.png	170.4 KB
svm-image.png	46.2 KB
/Part 01-Module 01-Lesson 03_Introductory Practice Project/
01. Overview.html	6.6 KB
02. Software Requirements.html	7.1 KB
03. Project files.html	7.1 KB
04. Titanic Survival Exploration.html	6.2 KB
index.html	4.5 KB
/Part 01-Module 02-Lesson 01_Nanodegree Career Services/
01. Access the Career Portal.html	7.9 KB
02. Prepare for the Udacity Talent Program.html	8.1 KB
index.html	4.4 KB
/img/
feb-26-2019-16-19-56.gif	6.6 MB
profiles-view.png	228.9 KB
screen-shot-2019-02-26-at-4.09.24-pm.png	107.4 KB
screen-shot-2019-02-26-at-4.25.04-pm.png	21.4 KB
talent-program.png	344.2 KB
/Part 01-Module 03-Lesson 01_Get Help with Your Account/
01. FAQ.html	6.3 KB
02. Support.html	5.9 KB
03. Bugcrowd.html	6.6 KB
index.html	4.3 KB
/img/
screen-shot-2018-11-09-at-7.38.47-pm.png	113.2 KB
screen-shot-2018-11-09-at-7.48.22-pm.png	1.6 MB
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-2019-01-14-at-4.05.23-pm.png	158.3 KB
/Part 01-Module 04-Lesson 01_NumPy and pandas Assessment/
01. Assessment.html	8.3 KB
index.html	4.2 KB
/Part 01-Module 05-Lesson 01_Training and Testing Models/
01. 01 Intro-4C4PuJANIdE.en.vtt	1.0 KB
01. 01 Intro-4C4PuJANIdE.mp4	4.9 MB
01. 01 Intro-4C4PuJANIdE.pt-BR.vtt	0.9 KB
01. 01 Intro-4C4PuJANIdE.zh-CN.vtt	0.9 KB
01. Intro.html	6.4 KB
02. 02 Intro SC V1-mIgABrjJVBY.en.vtt	1.5 KB
02. 02 Intro SC V1-mIgABrjJVBY.mp4	4.3 MB
02. 02 Intro SC V1-mIgABrjJVBY.pt-BR.vtt	1.4 KB
02. Outline.html	6.3 KB
03. Stats Refresher.html	6.5 KB
04. Loading data into Pandas.html	10.6 KB
05. NumPy Arrays.html	11.8 KB
06. Training models in sklearn.html	16.7 KB
07. Tuning Parameters Manually.html	12.9 KB
08. MLND Turning Paramaters-eSv2lPcnRM0.en.vtt	0.9 KB
08. MLND Turning Paramaters-eSv2lPcnRM0.mp4	3.8 MB
08. MLND Turning Paramaters-eSv2lPcnRM0.pt-BR.vtt	0.7 KB
08. MLND Turning Paramaters-eSv2lPcnRM0.zh-CN.vtt	0.8 KB
08. Tuning Parameters Automatically.html	6.5 KB
09. Testing your models.html	11.5 KB
09. Testing-gmxGRJSKEb0.en-US.vtt	7.8 KB
09. Testing-gmxGRJSKEb0.mp4	15.0 MB
09. Testing-gmxGRJSKEb0.pt-BR.vtt	7.5 KB
09. Testing-gmxGRJSKEb0.zh-CN.vtt	6.9 KB
10. Quiz Testing in sklearn.html	12.1 KB
index.html	4.9 KB
/img/
circle-data.png	51.1 KB
curves.png	193.0 KB
dataframe.png	14.7 KB
eggsdata.png	42.8 KB
linear-boundary.png	77.0 KB
points.png	54.7 KB
smalldf.png	10.8 KB
/Part 01-Module 06-Lesson 01_Evaluation Metrics/
01. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt	5.6 KB
01. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt	5.8 KB
01. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4	5.3 MB
01. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt	4.9 KB
01. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt	5.1 KB
01. Confusion Matrix.html	9.3 KB
02. Confusion Matrix 2.html	6.8 KB
02. Confusion-Matrix-Solution-ywwSzyU9rYs.en-US.vtt	1.1 KB
02. Confusion-Matrix-Solution-ywwSzyU9rYs.en.vtt	1.1 KB
02. Confusion-Matrix-Solution-ywwSzyU9rYs.mp4	1.2 MB
02. Confusion-Matrix-Solution-ywwSzyU9rYs.pt-BR.vtt	0.9 KB
02. Confusion-Matrix-Solution-ywwSzyU9rYs.zh-CN.vtt	1.0 KB
03. Accuracy-s6SfhPTNOHA.en-US.vtt	2.1 KB
03. Accuracy-s6SfhPTNOHA.en.vtt	1.8 KB
03. Accuracy-s6SfhPTNOHA.mp4	2.5 MB
03. Accuracy-s6SfhPTNOHA.pt-BR.vtt	1.9 KB
03. Accuracy-s6SfhPTNOHA.zh-CN.vtt	1.7 KB
03. Accuracy.html	7.8 KB
04. Accuracy 2-ueYCLfd_aNQ.en-US.vtt	0.7 KB
04. Accuracy 2-ueYCLfd_aNQ.en.vtt	0.7 KB
04. Accuracy 2-ueYCLfd_aNQ.mp4	587.6 KB
04. Accuracy 2-ueYCLfd_aNQ.pt-BR.vtt	0.6 KB
04. Accuracy 2-ueYCLfd_aNQ.pt.vtt	0.7 KB
04. Accuracy 2-ueYCLfd_aNQ.zh-CN.vtt	0.5 KB
04. Accuracy 2.html	6.8 KB
05. When Accuracy Wont Work-r0-O-gIDXZ0.en.vtt	2.9 KB
05. When Accuracy Wont Work-r0-O-gIDXZ0.mp4	2.3 MB
05. When Accuracy Wont Work-r0-O-gIDXZ0.pt-BR.vtt	2.9 KB
05. When accuracy won't work.html	6.6 KB
06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.en.vtt	3.0 KB
06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.mp4	2.3 MB
06. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.pt-BR.vtt	2.7 KB
06. False Negatives and Positives.html	9.0 KB
07. Answer False Negatives And Positives-KOytJL1lvgg.en.vtt	2.9 KB
07. Answer False Negatives And Positives-KOytJL1lvgg.mp4	2.3 MB
07. Answer False Negatives And Positives-KOytJL1lvgg.pt-BR.vtt	2.9 KB
07. Precision and Recall.html	7.0 KB
08. 06 Precision SC V1-q2wVorBfefU.en.vtt	2.8 KB
08. 06 Precision SC V1-q2wVorBfefU.mp4	2.4 MB
08. 06 Precision SC V1-q2wVorBfefU.pt-BR.vtt	2.7 KB
08. Precision.html	8.2 KB
09. 07 Recall SC V1-0n5wUZiefkQ.en.vtt	3.1 KB
09. 07 Recall SC V1-0n5wUZiefkQ.mp4	2.3 MB
09. 07 Recall SC V1-0n5wUZiefkQ.pt-BR.vtt	2.9 KB
09. Recall.html	8.4 KB
10. 08 F1 Score SC V1-TRzBeL07fSg.en.vtt	8.1 KB
10. 08 F1 Score SC V1-TRzBeL07fSg.mp4	6.3 MB
10. 08 F1 Score SC V1-TRzBeL07fSg.pt-BR.vtt	7.6 KB
10. F1 Score.html	7.6 KB
11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.en.vtt	4.1 KB
11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.mp4	2.8 MB
11. 09 Quiz Fbeta Score SC V1-KSswld4_9bY.pt-BR.vtt	3.8 KB
11. F-beta Score.html	11.3 KB
12. ROC Curve-2Iw5TiGzJI4.en.vtt	8.9 KB
12. ROC Curve-2Iw5TiGzJI4.mp4	7.0 MB
12. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt	8.3 KB
12. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt	7.5 KB
12. ROC Curve.html	6.6 KB
13. Regression Metrics.html	6.6 KB
13. Regression-Metrics-906P4BPnl9A.en-US.vtt	4.3 KB
13. Regression-Metrics-906P4BPnl9A.mp4	3.5 MB
13. Regression-Metrics-906P4BPnl9A.pt-BR.vtt	4.0 KB
13. Regression-Metrics-906P4BPnl9A.zh-CN.vtt	3.7 KB
index.html	5.0 KB
/img/
accuracy-quiz.png	108.4 KB
confusion.png	193.4 KB
email.png	152.1 KB
fbeta.png	345.2 KB
medical.png	191.0 KB
precision-quiz.png	256.8 KB
recall-quiz.png	233.7 KB
/Part 01-Module 07-Lesson 01_Model Selection/
01. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt	7.1 KB
01. 04 L Types Of Errors-Twf1qnPZeSY.mp4	6.9 MB
01. 04 L Types Of Errors-Twf1qnPZeSY.pt-BR.vtt	6.4 KB
01. 04 L Types Of Errors-Twf1qnPZeSY.zh-CN.vtt	6.2 KB
01. Types of Errors.html	6.9 KB
02. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt	3.4 KB
02. Model Complexity Graph-Question-YS5OQCA5cLY.mp4	5.7 MB
02. Model Complexity Graph-Question-YS5OQCA5cLY.pt-BR.vtt	3.2 KB
02. Model Complexity Graph-Question-YS5OQCA5cLY.zh-CN.vtt	3.1 KB
02. Model Complexity Graph.html	8.0 KB
03. Cross Validation.html	6.9 KB
03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt	6.3 KB
03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4	9.7 MB
03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt	5.9 KB
03. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt	5.4 KB
04. K-Fold Cross Validation.html	6.8 KB
04. KFold Cross Validation V3 V1-9W6o6eWGi-0.en.vtt	2.0 KB
04. KFold Cross Validation V3 V1-9W6o6eWGi-0.mp4	1.8 MB
04. KFold Cross Validation V3 V1-9W6o6eWGi-0.pt-BR.vtt	2.1 KB
05. Learning Curves SC V1-ZNhnNVKl8NM.en.vtt	8.2 KB
05. Learning Curves SC V1-ZNhnNVKl8NM.mp4	6.3 MB
05. Learning Curves SC V1-ZNhnNVKl8NM.pt-BR.vtt	8.3 KB
05. Learning Curves.html	7.2 KB
06. Detecting Overfitting and Underfitting with Learning Curves.html	19.5 KB
07. Solution Detecting Overfitting and Underfitting.html	9.8 KB
08. Grid Search SC V1-zDw-ZGiHW5I.en.vtt	4.2 KB
08. Grid Search SC V1-zDw-ZGiHW5I.mp4	3.6 MB
08. Grid Search SC V1-zDw-ZGiHW5I.pt-BR.vtt	4.3 KB
08. Grid Search.html	7.1 KB
09. Grid Search in sklearn.html	8.4 KB
10. Grid Search Lab.html	7.3 KB
11. [Solution] Grid Search Lab.html	7.3 KB
12. Outro SC V1-YD1grQje9fw.en.vtt	1.7 KB
12. Outro SC V1-YD1grQje9fw.mp4	1.5 MB
12. Outro SC V1-YD1grQje9fw.pt-BR.vtt	1.8 KB
12. Summary.html	6.6 KB
13. MLND Outro-sFvMBncQjr8.en.vtt	0.5 KB
13. MLND Outro-sFvMBncQjr8.mp4	2.1 MB
13. MLND Outro-sFvMBncQjr8.pt-BR.vtt	0.5 KB
13. MLND Outro-sFvMBncQjr8.zh-CN.vtt	0.4 KB
13. Outro.html	6.6 KB
index.html	5.2 KB
/img/
circle-data.png	51.1 KB
complexity.png	97.9 KB
learning-curves.png	111.6 KB
models.png	643.0 KB
/Part 01-Module 08-Lesson 01_Model Evaluation and Validation Assessment/
01. Model Evaluation and Validation assessment.html	9.5 KB
index.html	4.3 KB
/Part 01-Module 09-Lesson 01_Predicting Boston Housing Prices/
01. Project Overview.html	7.1 KB
02. Starting the project.html	7.4 KB
03. Submitting the project.html	7.6 KB
04. Uploading to Workspace.html	7.4 KB
05. Project Workspace.html	6.6 KB
Project Description - Predicting Boston Housing Prices.html	8.7 KB
Project Rubric - Predicting Boston Housing Prices.html	11.3 KB
index.html	4.8 KB
/img/
step-0.png	309.2 KB
step-2-file-upload.png	264.5 KB
step1-file-upload.png	297.7 KB
/Part 01-Module 10-Lesson 01_Linear Regression/
01. Intro.html	7.8 KB
01. Welcome To Linear Regression-zxZkTkM34BY.en.vtt	1.2 KB
01. Welcome To Linear Regression-zxZkTkM34BY.mp4	4.1 MB
01. Welcome To Linear Regression-zxZkTkM34BY.pt-BR.vtt	1.2 KB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.en.vtt	1.4 KB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.ja-JP.vtt	1.5 KB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp4	1.6 MB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.pt-BR.vtt	1.5 KB
02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.zh-CN.vtt	1.3 KB
02. Quiz Housing Prices.html	9.2 KB
03. Solution Housing Prices-uhdTulw9-Nc.en.vtt	0.9 KB
03. Solution Housing Prices-uhdTulw9-Nc.ja-JP.vtt	1.1 KB
03. Solution Housing Prices-uhdTulw9-Nc.mp4	1.0 MB
03. Solution Housing Prices-uhdTulw9-Nc.pt-BR.vtt	1.0 KB
03. Solution Housing Prices.html	7.9 KB
04. Fitting A Line-gkdoknEEcaI.en.vtt	1.4 KB
04. Fitting A Line-gkdoknEEcaI.mp4	1.2 MB
04. Fitting A Line-gkdoknEEcaI.pt-BR.vtt	1.5 KB
04. Fitting a Line Through Data.html	7.8 KB
05. Moving A Line-8EIHFyL2Log.en.vtt	1.2 KB
05. Moving A Line-8EIHFyL2Log.mp4	1.0 MB
05. Moving A Line-8EIHFyL2Log.pt-BR.vtt	1.1 KB
05. Moving a Line.html	7.7 KB
06. Absolute Trick-DJWjBAqSkZw.en.vtt	6.7 KB
06. Absolute Trick-DJWjBAqSkZw.mp4	5.4 MB
06. Absolute Trick-DJWjBAqSkZw.pt-BR.vtt	6.6 KB
06. Absolute Trick.html	7.7 KB
07. Square Trick-AGZEq-yQgRM.en.vtt	4.0 KB
07. Square Trick-AGZEq-yQgRM.mp4	3.4 MB
07. Square Trick-AGZEq-yQgRM.pt-BR.vtt	3.9 KB
07. Square Trick.html	7.7 KB
08. Gradient Descent-4s4x9h6AN5Y.en.vtt	5.7 KB
08. Gradient Descent-4s4x9h6AN5Y.mp4	4.5 MB
08. Gradient Descent-4s4x9h6AN5Y.pt-BR.vtt	5.4 KB
08. Gradient Descent.html	7.7 KB
09. Mean Absolute Error-vLKiY0Ehors.en.vtt	3.6 KB
09. Mean Absolute Error-vLKiY0Ehors.mp4	2.7 MB
09. Mean Absolute Error-vLKiY0Ehors.pt-BR.vtt	3.4 KB
09. Mean Absolute Error.html	7.8 KB
10. Mean Squared Error-MRyxmZDngI4.en.vtt	2.6 KB
10. Mean Squared Error-MRyxmZDngI4.mp4	1.9 MB
10. Mean Squared Error-MRyxmZDngI4.pt-BR.vtt	2.3 KB
10. Mean Squared Error.html	7.8 KB
11. Minimizing Error Functions-RbT2TXN_6tY.en.vtt	4.6 KB
11. Minimizing Error Functions-RbT2TXN_6tY.mp4	4.0 MB
11. Minimizing Error Functions-RbT2TXN_6tY.pt-BR.vtt	4.7 KB
11. Minimizing Error Functions.html	9.9 KB
12. Mean vs Total Error.html	9.1 KB
13. Mini-batch Gradient Descent.html	9.4 KB
14. Absolute Error vs Squared Error.html	11.6 KB
14. Absolute Vs Squared Error-csvdjaqt1GM.en.vtt	0.8 KB
14. Absolute Vs Squared Error-csvdjaqt1GM.mp4	676.1 KB
14. Absolute Vs Squared Error-csvdjaqt1GM.pt-BR.vtt	0.8 KB
14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.en.vtt	1.0 KB
14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.mp4	709.4 KB
14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.pt-BR.vtt	1.0 KB
14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.en.vtt	1.0 KB
14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.mp4	894.1 KB
14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.pt-BR.vtt	1.0 KB
15. Linear Regression in scikit-learn.html	17.8 KB
16. Higher Dimensions--UvpQV1qmiE.en.vtt	3.0 KB
16. Higher Dimensions--UvpQV1qmiE.mp4	2.8 MB
16. Higher Dimensions--UvpQV1qmiE.pt-BR.vtt	2.8 KB
16. Higher Dimensions.html	7.8 KB
17. Multiple Linear Regression.html	14.2 KB
18. Closed Form Solution-G3fRVgLa5gI.en.vtt	3.6 KB
18. Closed Form Solution-G3fRVgLa5gI.mp4	3.0 MB
18. Closed Form Solution-G3fRVgLa5gI.pt-BR.vtt	3.5 KB
18. Closed Form Solution.html	8.0 KB
19. (Optional) Closed form Solution Math.html	15.4 KB
20. Linear Regression Warnings.html	9.7 KB
21. Polynomial Regression-DBhWG-PagEQ.en.vtt	1.3 KB
21. Polynomial Regression-DBhWG-PagEQ.mp4	1.0 MB
21. Polynomial Regression-DBhWG-PagEQ.pt-BR.vtt	1.2 KB
21. Polynomial Regression.html	7.8 KB
22. Regularization-PyFNIcsNma0.en.vtt	11.1 KB
22. Regularization-PyFNIcsNma0.mp4	9.2 MB
22. Regularization-PyFNIcsNma0.pt-BR.vtt	10.6 KB
22. Regularization.html	7.7 KB
23. Conclusion-pyeojf0NniQ.en.vtt	0.6 KB
23. Conclusion-pyeojf0NniQ.mp4	1.6 MB
23. Conclusion-pyeojf0NniQ.pt-BR.vtt	0.6 KB
23. Outro.html	7.6 KB
index.html	6.0 KB
/img/
batch-stochastic.png	201.6 KB
codecogseqn-61.gif	2.1 KB
codecogseqn-62.gif	1.3 KB
e.gif	1.2 KB
f1.gif	2.1 KB
f2.gif	1.9 KB
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gif-1.gif	1.1 KB
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just-a-2d-reg.png	70.1 KB
just-a-simple-lin-reg.png	26.6 KB
lin-reg-no-outliers.png	29.3 KB
lin-reg-w-outliers.png	28.2 KB
m.gif	3.9 KB
minibatch.png	140.0 KB
quadraticlinearregression.png	24.1 KB
quiz.jpg	178.4 KB
y.gif	1.4 KB
/Part 01-Module 10-Lesson 02_Perceptron Algorithm/
01. Intro.html	6.4 KB
01. Perception Algorithm V2-ebIlG6Pqwas.en.vtt	1.0 KB
01. Perception Algorithm V2-ebIlG6Pqwas.mp4	5.6 MB
01. Perception Algorithm V2-ebIlG6Pqwas.pt-BR.vtt	0.9 KB
01. Perception Algorithm V2-ebIlG6Pqwas.zh-CN.vtt	0.9 KB
02. Classification Problems 1.html	7.8 KB
02. Exemplo de classificação-Dh625piH7Z0.en.vtt	2.8 KB
02. Exemplo de classificação-Dh625piH7Z0.ja-JP.vtt	2.9 KB
02. Exemplo de classificação-Dh625piH7Z0.mp4	2.2 MB
02. Exemplo de classificação-Dh625piH7Z0.pt-BR.vtt	2.6 KB
02. Exemplo de classificação-Dh625piH7Z0.zh-CN.vtt	2.4 KB
03. Classification Problems 2.html	6.6 KB
03. 分类问题 2 -46PywnGa_cQ.en.vtt	1.8 KB
03. 分类问题 2 -46PywnGa_cQ.ja-JP.vtt	1.8 KB
03. 分类问题 2 -46PywnGa_cQ.mp4	1.7 MB
03. 分类问题 2 -46PywnGa_cQ.pt-BR.vtt	1.6 KB
03. 分类问题 2 -46PywnGa_cQ.zh-CN.vtt	1.7 KB
04. Linear Boundaries-X-uMlsBi07k.en.vtt	3.9 KB
04. Linear Boundaries-X-uMlsBi07k.ja-JP.vtt	3.9 KB
04. Linear Boundaries-X-uMlsBi07k.mp4	4.0 MB
04. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt	3.8 KB
04. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt	3.4 KB
04. Linear Boundaries.html	7.3 KB
05. 09 Higher Dimensions-eBHunImDmWw.en.vtt	3.0 KB
05. 09 Higher Dimensions-eBHunImDmWw.ja-JP.vtt	3.1 KB
05. 09 Higher Dimensions-eBHunImDmWw.mp4	2.7 MB
05. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt	2.7 KB
05. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt	2.4 KB
05. Higher Dimensions.html	7.8 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt	6.0 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.ja-JP.vtt	6.1 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4	5.4 MB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt	5.7 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt	5.1 KB
06. Perceptrons.html	7.8 KB
07. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.en.vtt	3.4 KB
07. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.mp4	2.9 MB
07. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.zh-CN.vtt	2.5 KB
07. DL 09 XOR Perceptron--z9K49fdE3g.mp4	524.1 KB
07. Perceptrons as Logical Operators.html	18.0 KB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt	4.2 KB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.ja-JP.vtt	4.3 KB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4	3.8 MB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt	4.3 KB
08. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt	3.6 KB
08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt	0.4 KB
08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.ja-JP.vtt	0.5 KB
08. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4	266.3 KB
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. Perceptron Algorithm--zhTROHtscQ.en.vtt	2.7 KB
08. Perceptron Algorithm--zhTROHtscQ.ja-JP.vtt	3.0 KB
08. Perceptron Algorithm--zhTROHtscQ.mp4	2.0 MB
08. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt	2.5 KB
08. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt	2.4 KB
08. Perceptron Trick.html	10.7 KB
09. Perceptron Algorithm Pseudocode-p8Q3yu9YqYk.en.vtt	3.5 KB
09. Perceptron Algorithm Pseudocode-p8Q3yu9YqYk.ja-JP.vtt	4.0 KB
09. Perceptron Algorithm Pseudocode-p8Q3yu9YqYk.mp4	3.0 MB
09. Perceptron Algorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt	3.4 KB
09. Perceptron Algorithm.html	14.5 KB
10. Outro.html	6.2 KB
index.html	4.9 KB
/img/
and-quiz.png	272.2 KB
and-to-or.png	620.7 KB
meme.png	214.1 KB
or-quiz.png	403.1 KB
perceptronquiz.png	95.9 KB
points.png	64.7 KB
student-quiz.png	767.0 KB
xor-quiz.png	96.4 KB
xor.png	220.1 KB
/Part 01-Module 10-Lesson 03_Decision Trees/
01. Intro.html	7.5 KB
01. MLND SL DT 00 Intro V2-l34ijtQhVNk.en.vtt	4.5 KB
01. MLND SL DT 00 Intro V2-l34ijtQhVNk.mp4	22.7 MB
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
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.mp4	5.0 MB
02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.pt-BR.vtt	1.7 KB
02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.zh-CN.vtt	1.6 KB
02. Recommending Apps 1.html	10.8 KB
03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.en.vtt	1.6 KB
03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4	4.4 MB
03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.pt-BR.vtt	1.5 KB
03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.zh-CN.vtt	1.4 KB
03. Recommending Apps 2.html	8.8 KB
04. Recommending Apps 3.html	7.5 KB
04. Recommending Apps-nEvW8B1HNq4.en.vtt	2.8 KB
04. Recommending Apps-nEvW8B1HNq4.mp4	6.6 MB
04. Recommending Apps-nEvW8B1HNq4.pt-BR.vtt	2.6 KB
04. Recommending Apps-nEvW8B1HNq4.zh-CN.vtt	2.6 KB
05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt	1.8 KB
05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.mp4	4.4 MB
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
05. Quiz Student Admissions.html	9.0 KB
06. Solution Student Admissions.html	7.8 KB
06. Student Admissions-TdgBi6LtOB8.en.vtt	2.6 KB
06. Student Admissions-TdgBi6LtOB8.mp4	5.7 MB
06. Student Admissions-TdgBi6LtOB8.pt-BR.vtt	2.4 KB
06. Student Admissions-TdgBi6LtOB8.zh-CN.vtt	2.4 KB
07. Entropy-piLpj1V1HEk.en.vtt	4.9 KB
07. Entropy-piLpj1V1HEk.mp4	13.2 MB
07. Entropy-piLpj1V1HEk.pt-BR.vtt	4.3 KB
07. Entropy-piLpj1V1HEk.zh-CN.vtt	4.4 KB
07. Entropy.html	7.4 KB
08. Entropy Formula 1.html	9.3 KB
08. Entropy Formula-iZiSYrOKvpo.en.vtt	1.8 KB
08. Entropy Formula-iZiSYrOKvpo.mp4	4.5 MB
08. Entropy Formula-iZiSYrOKvpo.pt-BR.vtt	1.7 KB
08. Entropy Formula-iZiSYrOKvpo.zh-CN.vtt	1.8 KB
09. Entropy Formula 2.html	8.9 KB
09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.en.vtt	5.0 KB
09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.mp4	12.9 MB
09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.pt-BR.vtt	4.0 KB
09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.zh-CN.vtt	4.5 KB
10. Entropy Formula 3.html	8.0 KB
10. Entropy Formula-w73JTBVeyjE.en.vtt	3.0 KB
10. Entropy Formula-w73JTBVeyjE.mp4	8.4 MB
10. Entropy Formula-w73JTBVeyjE.pt-BR.vtt	2.7 KB
10. Entropy Formula-w73JTBVeyjE.zh-CN.vtt	2.6 KB
11. Multiclass Entropy.html	9.5 KB
12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt	0.8 KB
12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.mp4	2.3 MB
12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.pt-BR.vtt	0.7 KB
12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.zh-CN.vtt	0.7 KB
12. Quiz Information Gain.html	9.7 KB
13. Information Gain-k9iZL53PAmw.en.vtt	3.4 KB
13. Information Gain-k9iZL53PAmw.mp4	9.7 MB
13. Information Gain-k9iZL53PAmw.pt-BR.vtt	2.9 KB
13. Information Gain-k9iZL53PAmw.zh-CN.vtt	3.0 KB
13. Solution Information Gain.html	8.3 KB
14. Maximizing Information Gain-3FgJOpKfdY8.en.vtt	4.1 KB
14. Maximizing Information Gain-3FgJOpKfdY8.mp4	13.8 MB
14. Maximizing Information Gain-3FgJOpKfdY8.pt-BR.vtt	3.4 KB
14. Maximizing Information Gain-3FgJOpKfdY8.zh-CN.vtt	3.8 KB
14. Maximizing Information Gain.html	7.6 KB
15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.en.vtt	2.7 KB
15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.mp4	9.6 MB
15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.pt-BR.vtt	2.6 KB
15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.zh-CN.vtt	2.6 KB
15. Random Forests.html	7.6 KB
16. Hyperparameters.html	14.1 KB
17. Decision Trees in sklearn.html	16.9 KB
18. Titanic Survival Model with Decision Trees.html	8.0 KB
19. [Solution] Titanic Survival Model.html	8.0 KB
20. Outro.html	7.5 KB
index.html	5.7 KB
/img/
meme.png	214.1 KB
min-samples-split.png	83.1 KB
recommending-apps.png	143.9 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
screen-shot-2018-01-06-at-9.41.01-pm.png	113.4 KB
screen-shot-2018-05-22-at-12.25.34-pm.png	6.2 KB
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
student-data.png	94.1 KB
table.png	196.7 KB
trees.png	307.2 KB
/Part 01-Module 10-Lesson 04_Naive Bayes/
01. Intro.html	7.0 KB
01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt	0.7 KB
01. Naive Bayes Intro V2-vNOiQXghgRY.mp4	3.4 MB
01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt	0.7 KB
01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt	0.6 KB
02. Guess the Person.html	7.1 KB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt	3.5 KB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4	8.9 MB
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.zh-CN.vtt	3.1 KB
03. Known and Inferred.html	7.1 KB
03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt	1.3 KB
03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4	2.7 MB
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.zh-CN.vtt	1.1 KB
04. Guess the Person Now.html	7.5 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.mp4	22.1 MB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt	7.4 KB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt	6.2 KB
05. Bayes Theorem.html	7.1 KB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt	2.7 KB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4	7.6 MB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.pt-BR.vtt	2.8 KB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt	2.3 KB
06. Quiz False Positives.html	8.3 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.mp4	5.7 MB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.pt-BR.vtt	2.0 KB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.zh-CN.vtt	1.7 KB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt	6.6 KB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4	15.1 MB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.pt-BR.vtt	6.7 KB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt	5.5 KB
07. Solution False Positives.html	7.1 KB
08. Bayesian Learning 1.html	10.4 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt	2.4 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4	6.4 MB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt	2.3 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.zh-CN.vtt	2.3 KB
09. Bayesian Learning 2.html	7.1 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.mp4	1.9 MB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.pt-BR.vtt	1.6 KB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.zh-CN.vtt	1.4 KB
10. Bayesian Learning 3.html	7.4 KB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt	3.3 KB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4	9.8 MB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.pt-BR.vtt	3.1 KB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.zh-CN.vtt	2.8 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt	6.6 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4	5.4 MB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.pt-BR.vtt	6.4 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt	5.7 KB
11. Naive Bayes Algorithm 1.html	8.6 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt	1.8 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4	1.5 MB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.pt-BR.vtt	1.7 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt	1.5 KB
12. Naive Bayes Algorithm 2.html	7.2 KB
13. Building a Spam Classifier.html	8.1 KB
14. Project.html	7.6 KB
15. Spam Classifier - Workspace.html	7.5 KB
16. Outro.html	6.9 KB
index.html	5.3 KB
/img/
meme.png	214.1 KB
spam.png	69.4 KB
spamham.png	138.3 KB
/Part 01-Module 10-Lesson 05_Support Vector Machines/
01. Intro.html	7.2 KB
01. Support Vector Machine V2-LBmM6pZCrI0.en.vtt	0.5 KB
01. Support Vector Machine V2-LBmM6pZCrI0.mp4	2.5 MB
01. Support Vector Machine V2-LBmM6pZCrI0.pt-BR.vtt	0.5 KB
01. Support Vector Machine V2-LBmM6pZCrI0.zh-CN.vtt	0.4 KB
02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.en.vtt	0.7 KB
02. SVM 01 Which Line Is Better V1-NCml_NCvd1I.mp4	1.6 MB
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.zh-CN.vtt	0.6 KB
02. Which line is better.html	8.3 KB
03. Minimizing Distances.html	7.3 KB
03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.en.vtt	1.4 KB
03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.mp4	3.1 MB
03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.pt-BR.vtt	1.1 KB
03. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.zh-CN.vtt	1.2 KB
04. Error Function Intuition.html	7.3 KB
04. SVM 03 Error Function V1-l-ahImxoi-U.en.vtt	2.8 KB
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04. SVM 03 Error Function V1-l-ahImxoi-U.pt-BR.vtt	2.4 KB
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05. Perceptron Algorithm.html	7.8 KB
05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.en.vtt	4.8 KB
05. SVM 04 Perceptron Algorithm V1-IIlQHBOrD6Q.mp4	13.6 MB
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06. Classification Error.html	7.3 KB
06. SVM 05 Classification Error V1-nWGVAGXwvGE.en.vtt	3.7 KB
06. SVM 05 Classification Error V1-nWGVAGXwvGE.mp4	13.2 MB
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06. SVM 05 Classification Error V1-nWGVAGXwvGE.zh-CN.vtt	3.0 KB
07. Margin Error.html	7.2 KB
07. SVM 06 Margin Error V2-dSac8Gfgbok.en.vtt	6.7 KB
07. SVM 06 Margin Error V2-dSac8Gfgbok.mp4	19.7 MB
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07. SVM 06 Margin Error V2-dSac8Gfgbok.zh-CN.vtt	5.9 KB
08. (Optional) Margin Error Calculation.html	12.3 KB
09. Error Function.html	7.2 KB
09. SVM 07 Error Function V1-A1wbrcSYc1c.en.vtt	0.5 KB
09. SVM 07 Error Function V1-A1wbrcSYc1c.mp4	1.8 MB
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10. SVM 08 The C Parameter V2-6CxPhVo0hRw.en.vtt	2.9 KB
10. SVM 08 The C Parameter V2-6CxPhVo0hRw.mp4	7.4 MB
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10. SVM 08 The C Parameter V2-6CxPhVo0hRw.zh-CN.vtt	2.5 KB
10. The C Parameter.html	7.2 KB
11. Polynomial Kernel 1.html	7.3 KB
11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.en.vtt	3.1 KB
11. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.mp4	7.4 MB
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13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.en.vtt	10.5 KB
13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4	28.1 MB
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14. RBF Kernel 1.html	7.2 KB
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14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4	19.5 MB
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15. RBF Kernel 2.html	7.2 KB
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15. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.mp4	5.3 MB
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16. RBF Kernel 3.html	7.2 KB
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16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.mp4	9.7 MB
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16. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.zh-CN.vtt	3.1 KB
17. SVMs in sklearn.html	16.0 KB
18. Outro.html	7.0 KB
index.html	5.5 KB
/img/
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margin-geometry-images.002.jpeg	220.6 KB
margin-geometry-images.003.jpeg	259.7 KB
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margin-geometry-images.005.jpeg	288.1 KB
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polynomial-kernel-2-quiz.png	81.5 KB
screen-shot-2017-08-09-at-7.09.54-pm.png	132.0 KB
screen-shot-2018-01-06-at-10.44.48-pm.png	292.3 KB
screen-shot-2018-01-06-at-8.13.20-pm.png	52.0 KB
/Part 01-Module 10-Lesson 06_Ensemble Methods/
01. Intro.html	6.3 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.mp4	3.5 MB
01. MLND SL EM 01 Intro V1 MAIN V2-5v9KqIo6CFE.pt-BR.vtt	4.0 KB
02. Bagging.html	6.3 KB
02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.en.vtt	3.3 KB
02. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.mp4	2.5 MB
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03. AdaBoost.html	6.4 KB
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04. MLND SL EM 04 Weighting The Data MAIN V1 V2-O-hh_x0iYW8.en.vtt	2.8 KB
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05. MLND SL EM 05 Weighting The Models MAIN V1-wn6K536dPLc.pt-BR.vtt	1.2 KB
05. Weighting the Models 1.html	7.9 KB
06. MLND SL EM 06 Weighting The Models MAIN V2-unCJ_ifVquU.en.vtt	3.8 KB
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07. MLND SL EM 07 Weighting The Models 3 V1 MAIN V1-fecp5nmetws.en.vtt	3.5 KB
07. MLND SL EM 07 Weighting The Models 3 V1 MAIN V1-fecp5nmetws.mp4	3.0 MB
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07. Weighting the Models 3.html	6.5 KB
08. Combining the Models.html	6.5 KB
08. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.en.vtt	2.6 KB
08. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.mp4	2.8 MB
08. MLND SL EM 08 Combining The Models V1 MAIN V1-1GxscvKU2Ic.pt-BR.vtt	2.5 KB
09. AdaBoost in sklearn.html	7.7 KB
10. Resources.html	6.6 KB
11. Outro.html	6.2 KB
11. Supervised Learning Outro V2-7X2SDqzGrdU.en.vtt	0.5 KB
11. Supervised Learning Outro V2-7X2SDqzGrdU.mp4	2.4 MB
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index.html	4.9 KB
/img/
screen-shot-2018-01-03-at-2.20.30-pm.png	662.9 KB
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/Part 01-Module 10-Lesson 07_Supervised Learning Assessment/
01. Supervised Learning Assessment.html	9.7 KB
index.html	4.3 KB
/Part 01-Module 10-Lesson 08_Supervised Learning Project/
01. ML Charity Project-aVodYHcOB8U.en.vtt	1.4 KB
01. ML Charity Project-aVodYHcOB8U.mp4	4.2 MB
01. ML Charity Project-aVodYHcOB8U.pt-BR.vtt	1.4 KB
01. Overview.html	7.1 KB
02. Software Requirements.html	7.8 KB
03. Starting the project.html	7.5 KB
04. Submitting the project.html	7.6 KB
05. Uploading to Workspace.html	7.4 KB
06. Project Workspace.html	6.6 KB
Project Description - Finding Donors for CharityML.html	8.1 KB
Project Rubric - Finding Donors for CharityML.html	12.0 KB
index.html	4.9 KB
/img/
step-0.png	309.2 KB
step-2-file-upload.png	264.5 KB
step1-file-upload.png	297.7 KB
/Part 01-Module 11-Lesson 01_Clustering/
01. Introduction.html	8.3 KB
02. Unsupervised Learning-Mx9f99bRB3Q.ar.vtt	4.5 KB
02. Unsupervised Learning-Mx9f99bRB3Q.en.vtt	3.3 KB
02. Unsupervised Learning-Mx9f99bRB3Q.mp4	13.3 MB
02. Unsupervised Learning-Mx9f99bRB3Q.pt-BR.vtt	3.2 KB
02. Unsupervised Learning-Mx9f99bRB3Q.zh-CN.vtt	2.7 KB
02. Unsupervised Learning.html	7.4 KB
03. Clustering Movies-g8PKffm8IRY.ar.vtt	4.1 KB
03. Clustering Movies-g8PKffm8IRY.en.vtt	2.9 KB
03. Clustering Movies-g8PKffm8IRY.mp4	7.7 MB
03. Clustering Movies-g8PKffm8IRY.pt-BR.vtt	2.9 KB
03. Clustering Movies-g8PKffm8IRY.zh-CN.vtt	2.6 KB
03. Clustering Movies.html	7.4 KB
04. How Many Clusters-8Ygq5dRV0Kk.ar.vtt	0.5 KB
04. How Many Clusters-8Ygq5dRV0Kk.en.vtt	0.5 KB
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04. How Many Clusters-R6oIvdBtsZw.ar.vtt	1.0 KB
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04. How Many Clusters-R6oIvdBtsZw.mp4	2.9 MB
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04. How Many Clusters.html	8.7 KB
05. Match Points with Clusters-lS5DfbsWH34.ar.vtt	1.1 KB
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06. Optimizing Centers (Rubber Bands).html	9.3 KB
07. Moving Centers 2-FY0DXe0lfrI.ar.vtt	0.5 KB
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07. Moving Centers 2-FY0DXe0lfrI.mp4	1.4 MB
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10. K-Means Cluster Visualization-ZMfwPUrOFsE.ar.vtt	0.6 KB
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10. K-Means Cluster Visualization-ZMfwPUrOFsE.mp4	1.2 MB
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11. K-Means Clustering Visualization 2-fQXXa-CAoS0.ar.vtt	5.0 KB
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13. Sklearn-3zHUAXcoZ7c.ar.vtt	9.1 KB
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13. Sklearn-3zHUAXcoZ7c.mp4	24.4 MB
13. Sklearn-3zHUAXcoZ7c.pt-BR.vtt	6.6 KB
13. Sklearn-3zHUAXcoZ7c.zh-CN.vtt	5.7 KB
13. Sklearn.html	7.3 KB
14. Some challenges of k-means-e2CdlG5P4WA.ar.vtt	0.9 KB
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14. Some challenges of k-means-e2CdlG5P4WA.mp4	3.0 MB
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14. Some challenges of k-means.html	7.5 KB
15. Limitations of K-Means-4Fkfu37el_k.ar.vtt	1.3 KB
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16. Counterintuitive Clusters-StmEUgT1XSY.ar.vtt	3.0 KB
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16. Counterintuitive Clusters.html	9.0 KB
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17. Counterintuitive Clusters 2-HyjBus7S2gY.mp4	7.6 MB
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17. Counterintuitive Clusters 2-xSQTzAeeoEc.ar.vtt	0.8 KB
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17. Counterintuitive Clusters 2-xSQTzAeeoEc.mp4	2.1 MB
17. Counterintuitive Clusters 2-xSQTzAeeoEc.pt-BR.vtt	0.7 KB
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17. Counterintuitive Clusters 2.html	8.9 KB
index.html	5.6 KB
/img/
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/Part 01-Module 11-Lesson 02_Clustering Mini-Project/
01. Intro.html	6.7 KB
02. K-means clustering of movie ratings.html	6.2 KB
03. Solution.html	6.0 KB
index.html	4.4 KB
/Part 01-Module 11-Lesson 03_Hierarchical and Density-based Clustering/
01. K-means considerations.html	7.5 KB
01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.en.vtt	5.1 KB
01. MLND - Unsupervised Learning - L2 01 V2-NHb8w_M8nDY.mp4	16.2 MB
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
02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.en.vtt	1.2 KB
02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.mp4	3.2 MB
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02. MLND - Unsupervised Learning - L2 02 V1-Ed6RKuBzKWA.zh-CN.vtt	1.0 KB
02. Overview of other clustering methods.html	7.5 KB
03. Hierarchical clustering single-link.html	7.5 KB
03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.en.vtt	6.3 KB
03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.mp4	19.0 MB
03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.pt-BR.vtt	5.6 KB
03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.zh-CN.vtt	5.5 KB
04. Examining single-link clustering.html	7.7 KB
04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.en.vtt	6.3 KB
04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.mp4	24.5 MB
04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.pt-BR.vtt	5.5 KB
04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.zh-CN.vtt	5.8 KB
05. Complete-link, average-link, Ward.html	7.7 KB
05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.en.vtt	8.1 KB
05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.mp4	23.6 MB
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.zh-CN.vtt	7.3 KB
06. Hierarchical clustering implementation.html	7.8 KB
06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.en.vtt	1.8 KB
06. MLND - Unsupervised Learning - L2 06 Hierarchical Clustering Implementation MAIN V1 V1-tRqKsk5M9Mc.mp4	7.8 MB
07. [Lab] Hierarchical clustering .html	7.8 KB
08. [Lab Solution] Hierarchical Clustering.html	7.8 KB
09. HC examples and applications.html	8.2 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.mp4	9.6 MB
09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.pt-BR.vtt	2.0 KB
09. MLND - Unsupervised Learning - L2 07 HC Examples Applications MAIN V1 V2-HTahFoQwk2g.zh-CN.vtt	1.7 KB
10. [Quiz] Hierarchical clustering.html	9.1 KB
11. DBSCAN.html	7.9 KB
11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.en.vtt	6.7 KB
11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.mp4	20.9 MB
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
12. DBSCAN implementation.html	7.6 KB
12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.en.vtt	0.8 KB
12. MLND - Unsupervised Learning - L2 09 DBSCAN Implementation MAIN V1 V1-qEMUzQFylg8.mp4	3.8 MB
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.zh-CN.vtt	0.8 KB
13. [Lab] DBSCAN.html	7.7 KB
14. [Lab Solution] DBSCAN.html	7.8 KB
15. DBSCAN examples applications.html	8.1 KB
15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.en.vtt	4.6 KB
15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.mp4	18.6 MB
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.zh-CN.vtt	4.1 KB
16. [Quiz] DBSCAN.html	8.9 KB
index.html	5.7 KB
/Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/
01. Intro.html	8.3 KB
01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.en.vtt	2.3 KB
01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.mp4	8.8 MB
01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.pt-BR.vtt	2.5 KB
01. MLND - Unsupervised Learning - L3 01 Gaussian Mixture Model MAINv1 V3-SLdZrt0CvOk.zh-CN.vtt	2.1 KB
02. Gaussian Mixture Model (GMM) Clustering.html	8.5 KB
02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.en.vtt	1.2 KB
02. MLND - Unsupervised Learning - L3 2 Gaussian Mixture Model Clustering MAIN V1 V2-Y_methsXoFA.mp4	4.5 MB
03. Gaussian Distribution in One Dimension.html	8.5 KB
03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.en.vtt	2.5 KB
03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.mp4	8.8 MB
03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.pt-BR.vtt	2.4 KB
03. MLND - Unsupervised Learning - L3 3 Gaussian Distribution In 1D MAINv1 V1-uDPFrZwsKKQ.zh-CN.vtt	2.1 KB
04. GMM Clustering in One Dimension.html	8.4 KB
04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.en.vtt	3.1 KB
04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.mp4	10.8 MB
04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.pt-BR.vtt	3.4 KB
04. MLND - Unsupervised Learning - L3 04 GMM Clustering In 1D MAIN V1 V1-JkRQIGqkqA4.zh-CN.vtt	2.9 KB
05. Gaussian Distribution in 2D.html	8.4 KB
05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.en.vtt	2.0 KB
05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.mp4	7.3 MB
05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.pt-BR.vtt	2.1 KB
05. MLND - Unsupervised Learning - L3 05 Gaussian Distribution In 2D MAIN V1 V2-Ne-qRjO38qQ.zh-CN.vtt	1.7 KB
06. GMM in 2D.html	8.3 KB
06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.en.vtt	1.5 KB
06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.mp4	6.3 MB
06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.pt-BR.vtt	1.6 KB
06. MLND - Unsupervised Learning - L3 06 GMM In 2D MAIN Sfx V1 V1-GsNWVHmRRG4.zh-CN.vtt	1.2 KB
07. Quiz Gaussian Mixtures.html	11.4 KB
08. Overview of The Expectation Maximization (EM) Algorithm.html	8.6 KB
09. Expectation Maximization Part 1.html	8.5 KB
09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.en.vtt	8.0 KB
09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.mp4	34.2 MB
09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.pt-BR.vtt	8.1 KB
09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.zh-CN.vtt	6.9 KB
10. Expectation Maximization Part 2.html	8.4 KB
10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.en.vtt	7.2 KB
10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.mp4	27.6 MB
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.zh-CN.vtt	6.1 KB
11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.en.vtt	3.3 KB
11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.mp4	20.7 MB
11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.pt-BR.vtt	3.0 KB
11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.zh-CN.vtt	2.9 KB
11. Visual Example of EM Progress.html	8.4 KB
12. Expectation Maximization.html	8.3 KB
13. GMM Implementation.html	8.4 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.mp4	3.1 MB
13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.pt-BR.vtt	0.7 KB
13. MLND - Unsupervised Learning - L3 13 GMM Implementation MAIN V1 V2-zWrC_2Npy9E.zh-CN.vtt	0.6 KB
14. GMM Examples Applications.html	9.4 KB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.en.vtt	6.7 KB
14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.mp4	33.2 MB
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.zh-CN.vtt	5.8 KB
15. Cluster Analysis Process.html	8.4 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.mp4	12.3 MB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.pt-BR.vtt	4.5 KB
15. MLND - Unsupervised Learning - L3 16 Cluster Analysis Process MAIN V1 V1-aI2wW4fcU1I.zh-CN.vtt	3.8 KB
16. Cluster Validation.html	8.3 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.mp4	6.1 MB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.pt-BR.vtt	2.3 KB
16. MLND - Unsupervised Learning - L3 17 Cluster Validation MAINv1 V1-N13ML_GUuZQ.zh-CN.vtt	1.8 KB
17. External Validation Indices.html	8.6 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.en.vtt	6.4 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.mp4	24.3 MB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.pt-BR.vtt	6.0 KB
17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.zh-CN.vtt	5.5 KB
18. Quiz Adjusted Rand Index.html	8.8 KB
19. Internal Validation Indices.html	8.7 KB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.en.vtt	10.5 KB
19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.mp4	42.7 MB
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.zh-CN.vtt	9.3 KB
20. Silhouette Coefficient .html	8.3 KB
21. GMM Cluster Validation Lab.html	8.6 KB
22. GMM Cluster Validation Lab Solution.html	8.5 KB
index.html	6.3 KB
/img/
external-indices-quiz.png	98.8 KB
gmm-1d-quiz.png	27.4 KB
gmm-2d-quiz.png	80.3 KB
gmm-quiz.png	82.6 KB
/Part 01-Module 12-Lesson 01_Feature Scaling/
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.ar.vtt	0.5 KB
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.en.vtt	0.4 KB
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.mp4	1.2 MB
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.pt-BR.vtt	0.4 KB
01. Chris's T-Shirt Size (Intuition)-l6YXxmCNtHk.zh-CN.vtt	0.3 KB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.ar.vtt	3.1 KB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.en.vtt	2.3 KB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.mp4	7.0 MB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.pt-BR.vtt	2.5 KB
01. Chris's T-Shirt Size (Intuition)-oaqjLyiKOIA.zh-CN.vtt	2.0 KB
01. Chris's T-Shirt Size (Intuition).html	8.8 KB
02. A Metric for Chris-O0bvLU4l0is.ar.vtt	1.0 KB
02. A Metric for Chris-O0bvLU4l0is.en.vtt	0.8 KB
02. A Metric for Chris-O0bvLU4l0is.mp4	4.2 MB
02. A Metric for Chris-O0bvLU4l0is.pt-BR.vtt	0.9 KB
02. A Metric for Chris-O0bvLU4l0is.zh-CN.vtt	0.7 KB
02. A Metric for Chris-Thj7e55iSlA.ar.vtt	0.2 KB
02. A Metric for Chris-Thj7e55iSlA.en.vtt	0.1 KB
02. A Metric for Chris-Thj7e55iSlA.mp4	874.1 KB
02. A Metric for Chris-Thj7e55iSlA.pt-BR.vtt	0.1 KB
02. A Metric for Chris.html	8.2 KB
03. Height + Weight for Cameron--dT9dztM-Lc.ar.vtt	0.2 KB
03. Height + Weight for Cameron--dT9dztM-Lc.en.vtt	0.1 KB
03. Height + Weight for Cameron--dT9dztM-Lc.mp4	1.1 MB
03. Height + Weight for Cameron--dT9dztM-Lc.pt-BR.vtt	0.2 KB
03. Height + Weight for Cameron-MetxO9LDp-I.ar.vtt	0.3 KB
03. Height + Weight for Cameron-MetxO9LDp-I.en.vtt	0.2 KB
03. Height + Weight for Cameron-MetxO9LDp-I.mp4	495.5 KB
03. Height + Weight for Cameron-MetxO9LDp-I.pt-BR.vtt	0.2 KB
03. Height + Weight for Cameron-MetxO9LDp-I.zh-CN.vtt	0.2 KB
03. Height + Weight for Cameron.html	8.3 KB
04. Sarah's Height + Weight-OdsfV143AMc.ar.vtt	0.2 KB
04. Sarah's Height + Weight-OdsfV143AMc.en.vtt	0.2 KB
04. Sarah's Height + Weight-OdsfV143AMc.mp4	289.2 KB
04. Sarah's Height + Weight-OdsfV143AMc.pt-BR.vtt	0.2 KB
04. Sarah's Height + Weight-OdsfV143AMc.zh-CN.vtt	0.2 KB
04. Sarah's Height + Weight-p5p3OLARpmA.ar.vtt	0.1 KB
04. Sarah's Height + Weight-p5p3OLARpmA.en.vtt	0.1 KB
04. Sarah's Height + Weight-p5p3OLARpmA.mp4	432.7 KB
04. Sarah's Height + Weight-p5p3OLARpmA.pt-BR.vtt	0.1 KB
04. Sarah's Height + Weight-p5p3OLARpmA.zh-CN.vtt	0.1 KB
04. Sarah's Height + Weight.html	8.5 KB
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.ar.vtt	0.6 KB
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.en.vtt	0.4 KB
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.mp4	1.3 MB
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.pt-BR.vtt	0.4 KB
05. Chris's Shirt Size by Our Metric-e83ZS4VqGZ0.zh-CN.vtt	0.4 KB
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.ar.vtt	0.7 KB
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.en.vtt	0.5 KB
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.mp4	1.5 MB
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.pt-BR.vtt	0.5 KB
05. Chris's Shirt Size by Our Metric-oWyt6md7P44.zh-CN.vtt	0.4 KB
05. Chris's Shirt Size by Our Metric.html	8.8 KB
06. Comparing Features with Different Scales-PRL8trOU7Rs.ar.vtt	4.5 KB
06. Comparing Features with Different Scales-PRL8trOU7Rs.en.vtt	3.1 KB
06. Comparing Features with Different Scales-PRL8trOU7Rs.mp4	12.1 MB
06. Comparing Features with Different Scales-PRL8trOU7Rs.pt-BR.vtt	3.2 KB
06. Comparing Features with Different Scales-PRL8trOU7Rs.zh-CN.vtt	2.6 KB
06. Comparing Features with Different Scales.html	7.3 KB
07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.ar.vtt	1.7 KB
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07. Feature Scaling Formula Quiz 1-jOxS1eJRsOk.mp4	3.5 MB
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07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.ar.vtt	0.3 KB
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07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.mp4	559.2 KB
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07. Feature Scaling Formula Quiz 1-sPqs7DoBkXQ.zh-CN.vtt	0.2 KB
07. Feature Scaling Formula Quiz 1.html	8.6 KB
08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.ar.vtt	0.3 KB
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08. Feature Scaling Formula Quiz 2-J6RyUyWxrM4.mp4	193.4 KB
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08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.ar.vtt	0.1 KB
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08. Feature Scaling Formula Quiz 2-vmIK4jpUtNo.mp4	193.9 KB
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08. Feature Scaling Formula Quiz 2.html	8.6 KB
09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.ar.vtt	2.0 KB
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09. Feature Scaling Formula Quiz 3-bY2fuRkH3iw.mp4	3.4 MB
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09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.ar.vtt	0.8 KB
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09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.mp4	2.6 MB
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09. Feature Scaling Formula Quiz 3-iY_sO4d23gY.zh-CN.vtt	0.5 KB
09. Feature Scaling Formula Quiz 3.html	8.8 KB
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.ar.vtt	1.1 KB
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.en.vtt	0.8 KB
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.mp4	1.7 MB
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.pt-BR.vtt	0.9 KB
10. MinMax Rescaler Coding Quiz-ePXAzoGVviM.zh-CN.vtt	0.7 KB
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.ar.vtt	0.6 KB
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.en.vtt	0.4 KB
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.mp4	763.2 KB
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.pt-BR.vtt	0.5 KB
10. MinMax Rescaler Coding Quiz-xTEkF0voyoM.zh-CN.vtt	0.4 KB
10. MinMax Rescaler Coding Quiz.html	9.7 KB
11. MinMax Scaler in sklearn-lgoh5R05YM0.ar.vtt	8.2 KB
11. MinMax Scaler in sklearn-lgoh5R05YM0.en.vtt	6.2 KB
11. MinMax Scaler in sklearn-lgoh5R05YM0.mp4	15.6 MB
11. MinMax Scaler in sklearn-lgoh5R05YM0.pt-BR.vtt	5.8 KB
11. MinMax Scaler in sklearn-lgoh5R05YM0.zh-CN.vtt	5.5 KB
11. MinMax Scaler in sklearn.html	7.1 KB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.ar.vtt	1.8 KB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.en.vtt	1.3 KB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.mp4	2.6 MB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.pt-BR.vtt	1.4 KB
12. Quiz on Algorithms Requiring Rescaling-ntRkOeSZutw.zh-CN.vtt	1.1 KB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.ar.vtt	4.9 KB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.en.vtt	3.9 KB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.mp4	12.7 MB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.pt-BR.vtt	3.9 KB
12. Quiz on Algorithms Requiring Rescaling-oEhevl5DWpk.zh-CN.vtt	3.2 KB
12. Quiz on Algorithms Requiring Rescaling.html	9.4 KB
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/Part 01-Module 13-Lesson 01_PCA/
01. Data Dimensionality-bAZJT4xHiXM.ar.vtt	0.4 KB
01. Data Dimensionality-bAZJT4xHiXM.en.vtt	0.3 KB
01. Data Dimensionality-bAZJT4xHiXM.mp4	570.0 KB
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01. Data Dimensionality-gg7SAMMl4kM.ar.vtt	1.6 KB
01. Data Dimensionality-gg7SAMMl4kM.en.vtt	1.2 KB
01. Data Dimensionality-gg7SAMMl4kM.mp4	6.0 MB
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01. Data Dimensionality.html	10.7 KB
02. Trickier Data Dimensionality--dcNhrSPmoY.ar.vtt	0.2 KB
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02. Trickier Data Dimensionality-s24-ikl3ZAs.ar.vtt	0.5 KB
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02. Trickier Data Dimensionality-s24-ikl3ZAs.mp4	1.4 MB
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02. Trickier Data Dimensionality.html	10.8 KB
03. One-Dimensional, or Two-QsncWsyboFk.ar.vtt	0.4 KB
03. One-Dimensional, or Two-QsncWsyboFk.en.vtt	0.3 KB
03. One-Dimensional, or Two-QsncWsyboFk.mp4	1.1 MB
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03. One-Dimensional, or Two-yhzQ_HJcwn8.ar.vtt	1.3 KB
03. One-Dimensional, or Two-yhzQ_HJcwn8.en.vtt	0.9 KB
03. One-Dimensional, or Two-yhzQ_HJcwn8.mp4	4.4 MB
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03. One-Dimensional, or Two.html	10.8 KB
04. Slightly Less Perfect Data-9O7cJSP4C8w.ar.vtt	1.0 KB
04. Slightly Less Perfect Data-9O7cJSP4C8w.en.vtt	0.7 KB
04. Slightly Less Perfect Data-9O7cJSP4C8w.mp4	4.0 MB
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04. Slightly Less Perfect Data-g5yfjKWIKN4.ar.vtt	0.4 KB
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04. Slightly Less Perfect Data-g5yfjKWIKN4.mp4	1.4 MB
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04. Slightly Less Perfect Data.html	10.8 KB
05. Trickiest Data Dimensionality-mTcuS5jUeUE.ar.vtt	1.8 KB
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05. Trickiest Data Dimensionality-mTcuS5jUeUE.mp4	7.4 MB
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05. Trickiest Data Dimensionality-vIxDt0bNV9g.ar.vtt	0.4 KB
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05. Trickiest Data Dimensionality.html	10.9 KB
06. PCA for Data Transformation-nDuo5ECT1G4.ar.vtt	2.2 KB
06. PCA for Data Transformation-nDuo5ECT1G4.en.vtt	1.6 KB
06. PCA for Data Transformation-nDuo5ECT1G4.mp4	8.2 MB
06. PCA for Data Transformation-nDuo5ECT1G4.pt-BR.vtt	1.6 KB
06. PCA for Data Transformation-nDuo5ECT1G4.zh-CN.vtt	1.3 KB
06. PCA for Data Transformation.html	9.3 KB
07. Center of a New Coordinate System-1ask5zHGQKM.ar.vtt	0.4 KB
07. Center of a New Coordinate System-1ask5zHGQKM.en.vtt	0.3 KB
07. Center of a New Coordinate System-1ask5zHGQKM.mp4	1.9 MB
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07. Center of a New Coordinate System-Kst3mlrqJnQ.ar.vtt	1.4 KB
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07. Center of a New Coordinate System-Kst3mlrqJnQ.mp4	4.9 MB
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07. Center of a New Coordinate System.html	11.0 KB
08. Principal Axis of New Coordinate System-i6zv8vyZBk0.ar.vtt	1.0 KB
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08. Principal Axis of New Coordinate System-i6zv8vyZBk0.mp4	3.3 MB
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08. Principal Axis of New Coordinate System-qPr3Uj55eog.ar.vtt	0.3 KB
08. Principal Axis of New Coordinate System-qPr3Uj55eog.en.vtt	0.2 KB
08. Principal Axis of New Coordinate System-qPr3Uj55eog.mp4	719.4 KB
08. Principal Axis of New Coordinate System-qPr3Uj55eog.pt-BR.vtt	0.2 KB
08. Principal Axis of New Coordinate System-qPr3Uj55eog.zh-CN.vtt	0.2 KB
08. Principal Axis of New Coordinate System.html	10.8 KB
09. Second Principal Component Of New System-PqtW_Ux2_nY.ar.vtt	1.7 KB
09. Second Principal Component Of New System-PqtW_Ux2_nY.en.vtt	1.3 KB
09. Second Principal Component Of New System-PqtW_Ux2_nY.mp4	4.1 MB
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09. Second Principal Component Of New System-PqtW_Ux2_nY.zh-CN.vtt	1.1 KB
09. Second Principal Component Of New System-cTjBlM2ATLQ.ar.vtt	0.7 KB
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09. Second Principal Component Of New System-cTjBlM2ATLQ.mp4	1.3 MB
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09. Second Principal Component of New System.html	11.4 KB
10. Practice Finding Centers-FZVBF1HR4U0.ar.vtt	0.1 KB
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10. Practice Finding Centers-FZVBF1HR4U0.mp4	591.8 KB
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10. Practice Finding Centers-PRjmvj6Vubs.ar.vtt	1.0 KB
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10. Practice Finding Centers-PRjmvj6Vubs.mp4	4.1 MB
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10. Practice Finding Centers.html	10.9 KB
11. Practice Finding New Axes-aZqYc7v8BK4.ar.vtt	3.1 KB
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11. Practice Finding New Axes-aZqYc7v8BK4.mp4	6.6 MB
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11. Practice Finding New Axes-th34aboBOO0.mp4	359.1 KB
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11. Practice Finding New Axes.html	10.8 KB
12. Which Data is Ready for PCA-JSVsHbGUuIE.ar.vtt	0.8 KB
12. Which Data is Ready for PCA-JSVsHbGUuIE.en.vtt	0.6 KB
12. Which Data is Ready for PCA-JSVsHbGUuIE.mp4	3.5 MB
12. Which Data is Ready for PCA-JSVsHbGUuIE.pt-BR.vtt	0.7 KB
12. Which Data is Ready for PCA-JSVsHbGUuIE.zh-CN.vtt	0.6 KB
12. Which Data is Ready for PCA-Su7kIUVPu6w.ar.vtt	1.9 KB
12. Which Data is Ready for PCA-Su7kIUVPu6w.en.vtt	1.3 KB
12. Which Data is Ready for PCA-Su7kIUVPu6w.mp4	7.0 MB
12. Which Data is Ready for PCA-Su7kIUVPu6w.pt-BR.vtt	1.3 KB
12. Which Data is Ready for PCA-Su7kIUVPu6w.zh-CN.vtt	1.1 KB
12. Which Data is Ready for PCA.html	11.7 KB
13. When Does an Axis Dominate-4hJlaYRHdpA.ar.vtt	0.6 KB
13. When Does an Axis Dominate-4hJlaYRHdpA.en.vtt	0.5 KB
13. When Does an Axis Dominate-4hJlaYRHdpA.mp4	1.8 MB
13. When Does an Axis Dominate-4hJlaYRHdpA.pt-BR.vtt	0.5 KB
13. When Does an Axis Dominate-4hJlaYRHdpA.zh-CN.vtt	0.4 KB
13. When Does an Axis Dominate-5Uon6hUTl8Y.ar.vtt	1.3 KB
13. When Does an Axis Dominate-5Uon6hUTl8Y.en.vtt	1.0 KB
13. When Does an Axis Dominate-5Uon6hUTl8Y.mp4	5.4 MB
13. When Does an Axis Dominate-5Uon6hUTl8Y.pt-BR.vtt	1.0 KB
13. When Does an Axis Dominate-5Uon6hUTl8Y.zh-CN.vtt	0.9 KB
13. When Does an Axis Dominate.html	11.7 KB
14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.ar.vtt	0.7 KB
14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.en.vtt	0.6 KB
14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.mp4	349.8 KB
14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.pt-BR.vtt	0.6 KB
14. Measurable vs. Latent Features Quiz-20QVVrTcp2A.zh-CN.vtt	0.5 KB
14. Measurable vs. Latent Features Quiz-UeSD19oit_w.ar.vtt	0.8 KB
14. Measurable vs. Latent Features Quiz-UeSD19oit_w.en.vtt	0.7 KB
14. Measurable vs. Latent Features Quiz-UeSD19oit_w.mp4	2.6 MB
14. Measurable vs. Latent Features Quiz-UeSD19oit_w.pt-BR.vtt	0.7 KB
14. Measurable vs. Latent Features Quiz-UeSD19oit_w.zh-CN.vtt	0.6 KB
14. Measurable vs. Latent Features Quiz.html	11.2 KB
15. From Four Features to Two-MEtIAGKweXU.ar.vtt	2.4 KB
15. From Four Features to Two-MEtIAGKweXU.en.vtt	1.9 KB
15. From Four Features to Two-MEtIAGKweXU.mp4	8.1 MB
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15. From Four Features to Two-xJtmPbEfpFo.ar.vtt	1.3 KB
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15. From Four Features to Two-xJtmPbEfpFo.mp4	4.1 MB
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15. From Four Features to Two.html	11.5 KB
16. Compression While Preserving Information-NjuenhkC-44.ar.vtt	3.8 KB
16. Compression While Preserving Information-NjuenhkC-44.en.vtt	3.1 KB
16. Compression While Preserving Information-NjuenhkC-44.mp4	13.1 MB
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16. Compression While Preserving Information-_TJeoCTDykE.ar.vtt	1.2 KB
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16. Compression While Preserving Information-_TJeoCTDykE.mp4	3.3 MB
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16. Compression While Preserving Information.html	11.0 KB
17. Composite Features-0ZBp8oWySAc.ar.vtt	0.8 KB
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17. Composite Features-0ZBp8oWySAc.mp4	3.0 MB
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17. Composite Features-spVqFnSvlIU.ar.vtt	5.6 KB
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17. Composite Features-spVqFnSvlIU.mp4	19.0 MB
17. Composite Features-spVqFnSvlIU.pt-BR.vtt	4.6 KB
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17. Composite Features.html	11.1 KB
18. Maximal Variance-FpQm_dYA9LM.ar.vtt	0.5 KB
18. Maximal Variance-FpQm_dYA9LM.en.vtt	0.4 KB
18. Maximal Variance-FpQm_dYA9LM.mp4	1.6 MB
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18. Maximal Variance-tfYAGBIR_Ws.ar.vtt	3.4 KB
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18. Maximal Variance-tfYAGBIR_Ws.mp4	12.1 MB
18. Maximal Variance-tfYAGBIR_Ws.pt-BR.vtt	2.9 KB
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18. Maximal Variance.html	10.7 KB
19. Advantages of Maximal Variance-TbT6a6qaj08.ar.vtt	0.9 KB
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19. Advantages of Maximal Variance-TbT6a6qaj08.mp4	2.9 MB
19. Advantages of Maximal Variance-TbT6a6qaj08.pt-BR.vtt	0.7 KB
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19. Advantages of Maximal Variance-jQaYAlZ1fp0.ar.vtt	2.8 KB
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19. Advantages of Maximal Variance-jQaYAlZ1fp0.mp4	7.2 MB
19. Advantages of Maximal Variance-jQaYAlZ1fp0.pt-BR.vtt	2.0 KB
19. Advantages of Maximal Variance-jQaYAlZ1fp0.zh-CN.vtt	1.8 KB
19. Advantages of Maximal Variance.html	11.1 KB
20. Maximal Variance and Information Loss-DX_f02bUHT0.ar.vtt	0.6 KB
20. Maximal Variance and Information Loss-DX_f02bUHT0.en.vtt	0.5 KB
20. Maximal Variance and Information Loss-DX_f02bUHT0.mp4	2.1 MB
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20. Maximal Variance and Information Loss-hfmvk8DzTGA.ar.vtt	3.8 KB
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20. Maximal Variance and Information Loss-hfmvk8DzTGA.mp4	13.9 MB
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20. Maximal Variance and Information Loss.html	11.0 KB
21. Info Loss and Principal Components-LTPV8lxQeZQ.ar.vtt	3.1 KB
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21. Info Loss and Principal Components-LTPV8lxQeZQ.mp4	10.8 MB
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21. Info Loss and Principal Components.html	9.4 KB
22. Neighborhood Composite Feature-WxAWorS2SLg.ar.vtt	1.1 KB
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22. Neighborhood Composite Feature-WxAWorS2SLg.mp4	2.8 MB
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22. Neighborhood Composite Feature.html	11.3 KB
23. PCA for Feature Transformation-8kUPRUEMCA8.ar.vtt	5.8 KB
23. PCA for Feature Transformation-8kUPRUEMCA8.en.vtt	4.2 KB
23. PCA for Feature Transformation-8kUPRUEMCA8.mp4	21.8 MB
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23. PCA for Feature Transformation-8kUPRUEMCA8.zh-CN.vtt	3.6 KB
23. PCA for Feature Transformation.html	9.4 KB
24. Maximum Number of PCs Quiz-oOUx6NHppdQ.ar.vtt	0.4 KB
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24. Maximum Number of PCs Quiz.html	10.8 KB
25. ReviewDefinition of PCA-oFBGXUUuKyI.ar.vtt	4.7 KB
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25. ReviewDefinition of PCA-oFBGXUUuKyI.mp4	13.2 MB
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25. ReviewDefinition of PCA-oFBGXUUuKyI.zh-CN.vtt	2.8 KB
25. ReviewDefinition of PCA.html	9.3 KB
26. Applying PCA to Real Data.html	9.3 KB
27. PCA on the Enron Finance Data-6ufIq2nrTwg.ar.vtt	0.7 KB
27. PCA on the Enron Finance Data-6ufIq2nrTwg.en.vtt	0.6 KB
27. PCA on the Enron Finance Data-6ufIq2nrTwg.mp4	2.5 MB
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27. PCA on the Enron Finance Data-w5XWkq_Y-rY.ar.vtt	2.1 KB
27. PCA on the Enron Finance Data-w5XWkq_Y-rY.en-US.vtt	1.5 KB
27. PCA on the Enron Finance Data-w5XWkq_Y-rY.en.vtt	1.5 KB
27. PCA on the Enron Finance Data-w5XWkq_Y-rY.mp4	4.8 MB
27. PCA on the Enron Finance Data-w5XWkq_Y-rY.pt-BR.vtt	1.6 KB
27. PCA on the Enron Finance Data-w5XWkq_Y-rY.zh-CN.vtt	1.3 KB
27. PCA on the Enron Finance Data.html	11.2 KB
28. PCA in sklearn-SBYdqlLgbGk.ar.vtt	7.2 KB
28. PCA in sklearn-SBYdqlLgbGk.en.vtt	5.4 KB
28. PCA in sklearn-SBYdqlLgbGk.mp4	21.9 MB
28. PCA in sklearn-SBYdqlLgbGk.pt-BR.vtt	5.5 KB
28. PCA in sklearn-SBYdqlLgbGk.zh-CN.vtt	4.8 KB
28. PCA in sklearn.html	9.7 KB
29. When to Use PCA-hJZHcmJBk1o.ar.vtt	7.6 KB
29. When to Use PCA-hJZHcmJBk1o.en.vtt	5.5 KB
29. When to Use PCA-hJZHcmJBk1o.mp4	18.4 MB
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29. When to Use PCA-hJZHcmJBk1o.zh-CN.vtt	5.0 KB
29. When to Use PCA.html	9.2 KB
30. PCA for Facial Recognition-B_JKtLN-i5I.ar.vtt	2.4 KB
30. PCA for Facial Recognition-B_JKtLN-i5I.en.vtt	1.8 KB
30. PCA for Facial Recognition-B_JKtLN-i5I.mp4	7.3 MB
30. PCA for Facial Recognition-B_JKtLN-i5I.pt-BR.vtt	1.8 KB
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30. PCA for Facial Recognition-WyoU2otqsd8.ar.vtt	3.2 KB
30. PCA for Facial Recognition-WyoU2otqsd8.en.vtt	2.4 KB
30. PCA for Facial Recognition-WyoU2otqsd8.mp4	11.3 MB
30. PCA for Facial Recognition-WyoU2otqsd8.pt-BR.vtt	2.6 KB
30. PCA for Facial Recognition-WyoU2otqsd8.zh-CN.vtt	2.0 KB
30. PCA for Facial Recognition.html	11.2 KB
31. Eigenfaces Code-LgLYw-G4sLQ.ar.vtt	8.8 KB
31. Eigenfaces Code-LgLYw-G4sLQ.en.vtt	6.4 KB
31. Eigenfaces Code-LgLYw-G4sLQ.mp4	34.0 MB
31. Eigenfaces Code-LgLYw-G4sLQ.pt-BR.vtt	6.8 KB
31. Eigenfaces Code-LgLYw-G4sLQ.zh-CN.vtt	5.6 KB
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/img/
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/media/
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/Part 01-Module 14-Lesson 01_PCA Mini-Project/
01. PCA Mini-Project.html	5.8 KB
index.html	4.2 KB
/Part 01-Module 15-Lesson 01_Random Projection and ICA/
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.mp4	9.6 MB
01. L6 1 Random Projection MAIN V1 V1 V1-Iat1a8mzI-Y.pt-BR.vtt	9.5 KB
01. Random Projection.html	7.7 KB
02. Random Projection.html	8.0 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.mp4	1.2 MB
03. L6 2 Random Projection Impl MAINv1 V1 V1-5DhvurLgRII.pt-BR.vtt	1.3 KB
03. Random Projection in sklearn.html	6.6 KB
04. Independent Component Analysis (ICA).html	7.2 KB
04. L6 3 ICA V1 V1-ae94x-1JDzg.en.vtt	4.0 KB
04. L6 3 ICA V1 V1-ae94x-1JDzg.mp4	6.3 MB
04. L6 3 ICA V1 V1-ae94x-1JDzg.pt-BR.vtt	3.9 KB
05. FastICA Algorithm.html	6.7 KB
05. L6 4 ICA Algorithm V2 V1-xlhd5UWk_-E.en.vtt	7.1 KB
05. L6 4 ICA Algorithm V2 V1-xlhd5UWk_-E.mp4	8.3 MB
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06. ICA.html	7.9 KB
07. ICA in sklearn.html	6.5 KB
07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.en.vtt	0.9 KB
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07. L6 5 ICA Implementation V1 V1-fZGxYfJmKaE.pt-BR.vtt	1.0 KB
08. [Lab] Independent Component Analysis.html	7.0 KB
09. [Solution] Independent Component Analysis.html	7.0 KB
10. ICA Applications.html	7.5 KB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.en.vtt	4.3 KB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.mp4	10.4 MB
10. L6 6 ICA Applications MAIN V1 V1 V1-th12mTv1B7g.pt-BR.vtt	4.2 KB
index.html	5.0 KB
/img/
eeg-ica.png	175.0 KB
/Part 01-Module 16-Lesson 01_Unsupervised Learning Assessment/
01. Assessment.html	9.9 KB
index.html	4.2 KB
/Part 01-Module 17-Lesson 01_Creating Customer Segments/
01. Overview.html	7.8 KB
02. Software Requirements.html	7.7 KB
03. Starting the project.html	7.5 KB
04. Submitting the project.html	7.6 KB
05. Uploading to Workspace.html	7.4 KB
06. Workspace.html	6.6 KB
Project Description - Creating Customer Segments.html	8.9 KB
Project Rubric - Creating Customer Segments.html	12.2 KB
index.html	4.8 KB
/img/
step-0.png	309.2 KB
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/Part 01-Module 18-Lesson 01_Congratulations!/
01. Congratulations!.html	6.4 KB
index.html	4.2 KB
/img/
beemo.gif	229.1 KB
/Part 02-Module 01-Lesson 01_Welcome to Advanced Machine Learning/
01. Welcome to Advanced Machine Learning.html	7.3 KB
02. Program Structure.html	7.6 KB
03. Projects You Will Build.html	7.8 KB
04. Udacity Support.html	10.3 KB
05. Deadline Policy.html	11.5 KB
06. Community Guidelines.html	8.4 KB
index.html	4.7 KB
/img/
project-prep-create-your-portfolio-2.png	19.8 KB
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semi-supervised-learning.jpg	37.7 KB
thumbs-up.jpg	627.2 KB
/Part 02-Module 02-Lesson 01_Neural Networks/
01. Announcement.html	8.5 KB
02. Introduction-tn-CrUTkCUc.en.vtt	3.4 KB
02. Introduction-tn-CrUTkCUc.mp4	7.9 MB
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02. Introduction.html	8.4 KB
03. Classification Problems 1.html	9.9 KB
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04. Classification Problems 2.html	8.6 KB
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05. Linear Boundaries-X-uMlsBi07k.en.vtt	3.9 KB
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05. Linear Boundaries-X-uMlsBi07k.mp4	4.0 MB
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06. 09 Higher Dimensions-eBHunImDmWw.en.vtt	3.0 KB
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06. Higher Dimensions.html	9.8 KB
07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt	6.0 KB
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07. Perceptrons.html	9.8 KB
08. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.en.vtt	3.4 KB
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08. DL 09 XOR Perceptron--z9K49fdE3g.mp4	524.1 KB
08. Perceptrons as Logical Operators.html	20.0 KB
09. Why Neural Networks.html	8.6 KB
09. 为何是神经网络-zAkzOZntK6Y.en.vtt	1.4 KB
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10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt	4.2 KB
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10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4	3.8 MB
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10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt	0.4 KB
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10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4	266.3 KB
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10. Perceptron Algorithm--zhTROHtscQ.en.vtt	2.7 KB
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10. Perceptron Algorithm--zhTROHtscQ.mp4	2.0 MB
10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt	2.5 KB
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10. Perceptron Trick.html	12.8 KB
11. Perceptron Algorithm Pseudocode-p8Q3yu9YqYk.en.vtt	3.5 KB
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11. Perceptron Algorithm Pseudocode-p8Q3yu9YqYk.mp4	3.0 MB
11. Perceptron Algorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt	3.4 KB
11. Perceptron Algorithm.html	16.6 KB
12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt	1.8 KB
12. Non-Linear Regions-B8UrWnHh1Wc.mp4	1.4 MB
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12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt	1.6 KB
12. Non-Linear Regions.html	8.5 KB
13. Error Functions-YfUUunxWIJw.en.vtt	0.8 KB
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13. Error Functions-YfUUunxWIJw.mp4	3.7 MB
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13. Error Functions.html	8.6 KB
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14. Error Functions-jfKShxGAbok.ja-JP.vtt	10.8 KB
14. Error Functions-jfKShxGAbok.mp4	7.6 MB
14. Error Functions-jfKShxGAbok.pt-BR.vtt	9.4 KB
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14. Log-loss Error Function.html	10.3 KB
15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt	0.6 KB
15. Discrete vs Continuous-rdP-RPDFkl0.ja-JP.vtt	0.6 KB
15. Discrete vs Continuous-rdP-RPDFkl0.mp4	2.4 MB
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15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4	5.6 MB
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15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt	4.8 KB
16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt	5.5 KB
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16. DL 18 S Softmax-n8S-v_LCTms.en.vtt	2.7 KB
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16. Quiz - Softmax-NNoezNnAMTY.en.vtt	0.5 KB
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16. Softmax.html	13.2 KB
17. One-Hot Encoding-AePvjhyvsBo.en.vtt	2.3 KB
17. One-Hot Encoding-AePvjhyvsBo.ja-JP.vtt	2.6 KB
17. One-Hot Encoding-AePvjhyvsBo.mp4	1.7 MB
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17. One-Hot Encoding.html	8.6 KB
18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt	1.7 KB
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18. Maximum Likelihood 1-1yJx-QtlvNI.mp4	6.0 MB
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18. Maximum Likelihood.html	11.1 KB
19. Maximizing Probabilities.html	10.6 KB
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20. Cross Entropy 1-iREoPUrpXvE.en.vtt	4.9 KB
20. Cross Entropy 1-iREoPUrpXvE.ja-JP.vtt	5.1 KB
20. Cross Entropy 1-iREoPUrpXvE.mp4	4.4 MB
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20. Cross-Entropy 1.html	8.8 KB
21. Cross-Entropy 2.html	11.3 KB
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21. CrossEntropy V1-1BnhC6e0TFw.mp4	6.9 MB
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21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt	6.8 KB
21. Formula For Cross 1-qvr_ego_d6w.en.vtt	0.6 KB
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21. Formula For Cross 1-qvr_ego_d6w.mp4	2.2 MB
21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt	0.7 KB
21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt	0.5 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt	4.8 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.ja-JP.vtt	5.1 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4	4.3 MB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt	4.7 KB
22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt	4.1 KB
22. Multi-Class Cross Entropy.html	9.8 KB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt	1.7 KB
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23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt	1.5 KB
23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt	1.5 KB
23. Error Function-V5kkHldUlVU.en.vtt	5.0 KB
23. Error Function-V5kkHldUlVU.ja-JP.vtt	4.8 KB
23. Error Function-V5kkHldUlVU.mp4	5.1 MB
23. Error Function-V5kkHldUlVU.pt-BR.vtt	5.3 KB
23. Error Function-V5kkHldUlVU.zh-CN.vtt	4.2 KB
23. Logistic Regression.html	10.4 KB
24. Gradient Descent-rhVIF-nigrY.en.vtt	3.9 KB
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24. Gradient Descent-rhVIF-nigrY.mp4	3.9 MB
24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt	4.1 KB
24. Gradient Descent.html	16.8 KB
25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt	2.6 KB
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25. Gradient Descent Algorithm-snxmBgi_GeU.mp4	2.1 MB
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25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt	2.3 KB
25. Logistic Regression Algorithm.html	8.7 KB
26. Pre-Lab Gradient Descent.html	10.3 KB
27. Notebook Gradient Descent.html	8.9 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt	4.4 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.ja-JP.vtt	4.5 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4	3.4 MB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt	4.3 KB
28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt	3.7 KB
28. Perceptron vs Gradient Descent.html	9.0 KB
29. Neural Networks Outro V2-pwA5shUkRVc.mp4	3.5 MB
29. Neural Networks Outro V2-pwA5shUkRVc.pt-BR.vtt	0.8 KB
29. Outro.html	8.1 KB
index.html	6.4 KB
/img/
and-quiz.png	272.2 KB
and-to-or.png	620.7 KB
codecogseqn-43.gif	8.2 KB
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points.png	64.7 KB
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xor-quiz.png	96.4 KB
xor.png	220.1 KB
/Part 02-Module 02-Lesson 02_Cloud Computing/
01. Overview.html	8.1 KB
02. Create an AWS Account.html	6.8 KB
03. Apply Credits.html	7.6 KB
04. Get Access to GPU Instances.html	9.5 KB
05. Launch an Instance.html	13.6 KB
06. Login to the Instance.html	10.5 KB
07. More Resources.html	7.7 KB
index.html	4.6 KB
/img/
amazon-aws.png	57.3 KB
amazonwebservices-logo.svg.png	109.7 KB
aws-add-sec-group.png	42.7 KB
aws-create-account.png	13.8 KB
edit-security-group.png	13.1 KB
launch-instance.png	23.1 KB
launch.png	9.1 KB
p2-limit-increase.png	192.7 KB
p2xlarge-limit-request.png	132.8 KB
review-and-launch.png	16.1 KB
screen-shot-2017-06-13-at-12.58.03-pm.png	201.0 KB
screen-shot-2017-11-26-at-10.30.15-am.png	148.6 KB
screen-shot-2017-11-26-at-9.38.24-am.png	451.5 KB
screen-shot-2017-11-26-at-9.55.20-am.png	424.2 KB
screen-shot-2018-01-08-at-5.37.22-am.png	34.0 KB
screen-shot-2018-01-08-at-5.38.03-am.png	282.8 KB
screen-shot-2018-07-19-at-5.39.37-pm.png	134.2 KB
stop.png	48.7 KB
/Part 02-Module 02-Lesson 03_Deep Neural Networks/
01. Non-Linear Data-F7ZiE8PQiSc.en.vtt	0.6 KB
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01. Non-Linear Data-F7ZiE8PQiSc.mp4	2.2 MB
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01. Non-linear Data.html	8.6 KB
02. Continuous Perceptrons-07-JJ-aGEfM.en.vtt	1.4 KB
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04. Neural Network Architecture.html	13.7 KB
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05. Feedforward.html	10.0 KB
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06. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt	6.3 KB
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07. Keras.html	18.9 KB
08. Pre-Lab Student Admissions in Keras.html	14.8 KB
09. Lab Student Admissions in Keras.html	8.9 KB
10. Training Optimization-UiGKhx9pUYc.en.vtt	0.8 KB
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11. Early Stopping.html	8.5 KB
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12. Regularization.html	9.5 KB
13. Regularization 2.html	8.4 KB
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14. Dropout-Ty6K6YiGdBs.en.vtt	4.8 KB
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17. Other Activation Functions-kA-1vUt6cvQ.en.vtt	2.7 KB
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18. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt	4.8 KB
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19. Learning Rate Decay.html	8.4 KB
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22. Optimizers in Keras.html	9.2 KB
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24. Neural Network Regression-aUJCBqBfEnI.mp4	3.6 MB
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26. Mini Project Intro.html	8.4 KB
27. Pre-Lab IMDB Data in Keras.html	12.7 KB
28. Lab IMDB Data in Keras.html	8.9 KB
29. Conclusion-wOiUQDgGD9E.en.vtt	0.7 KB
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/Part 02-Module 02-Lesson 04_Convolutional Neural Networks/
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01. Introducing Alexis.html	8.7 KB
02. Aplicações de CNNs-HrYNL_1SV2Y.en.vtt	5.5 KB
02. Aplicações de CNNs-HrYNL_1SV2Y.mp4	18.6 MB
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03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt	5.7 KB
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06. Model Validation in Keras-002jNXSM6CU.en.vtt	5.6 KB
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07. When do MLPs (not) work well .html	8.9 KB
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08. Mini project Training an MLP on MNIST.html	12.0 KB
09. Local Connectivity-z9wiDg0w-Dc.en.vtt	9.2 KB
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10. Convolutional Layers (Part 1).html	8.6 KB
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11. Convolutional Layers (Part 2).html	9.3 KB
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13. Convolutional Layers in Keras.html	13.0 KB
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19. Mini project CNNs in Keras.html	9.4 KB
20. Image Augmentation in Keras-odStujZq3GY.en.vtt	8.4 KB
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21. Mini project Image Augmentation in Keras.html	9.5 KB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.en.vtt	4.0 KB
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23. Visualizando CNNs-mnqS_EhEZVg.en.vtt	4.0 KB
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24. Visualizing CNNs (Part 2).html	15.5 KB
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/Part 02-Module 02-Lesson 05_Deep Learning for Cancer Detection with Sebastian Thrun/
01. Intro.html	8.7 KB
01. Introduction-ZCpXvVdIdnY.en.vtt	0.9 KB
01. Introduction-ZCpXvVdIdnY.mp4	1.6 MB
01. Introduction-ZCpXvVdIdnY.pt-BR.vtt	0.9 KB
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02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt	1.9 KB
02. 02 Skin Cancer V4-70jGZeiTNgk.mp4	5.0 MB
02. 02 Skin Cancer V4-70jGZeiTNgk.pt-BR.vtt	1.8 KB
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02. Skin Cancer.html	10.8 KB
03. Survival Probability of Skin Cancer.html	8.8 KB
03. Survival Rate-QPlp3NeGuSk.en.vtt	1.2 KB
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09. Training The Neural Network-HwiI-UXUx-M.en.vtt	1.1 KB
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10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt	0.9 KB
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13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt	0.5 KB
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15. More on Sensitivity and Specificity.html	11.6 KB
16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt	0.5 KB
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18. Images-1GdiN5Wc8LA.mp4	404.9 KB
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18. Refresh on ROC Curves.html	12.1 KB
19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt	0.8 KB
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19. Quiz ROC Curve.html	10.0 KB
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21. Comparing our Results with Doctors.html	8.7 KB
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22. Visualization.html	8.7 KB
23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt	2.2 KB
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23. What is the network looking at.html	8.9 KB
24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt	5.6 KB
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24. Refresh on Confusion Matrices.html	16.4 KB
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26. Conclusion-WhpE_8sTt-0.en.vtt	3.7 KB
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26. Conclusion.html	8.7 KB
27. Useful Resources.html	9.9 KB
28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt	0.5 KB
28. Mini Project Introduction-Rgf3YVFWl-M.mp4	1.2 MB
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28. Mini Project Introduction.html	8.8 KB
29. Mini Project Dermatologist AI.html	20.6 KB
index.html	6.8 KB
/img/
cat-1.jpeg	236.3 KB
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lesions.png	1.6 MB
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/Part 02-Module 02-Lesson 06_Deep Learning Assessment/
01. Assessment.html	10.9 KB
index.html	4.2 KB
/Part 02-Module 02-Lesson 07_Deep Learning Project/
01. Dog Breed Recognition Project.html	5.9 KB
02. Dog Breed Workspace.html	6.2 KB
Project Description - Dog Breed Classifier.html	9.1 KB
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index.html	4.5 KB
/Part 02-Module 03-Lesson 01_Introduction to RL/
01. Introduction-6jSFl5kxIBs.en.vtt	2.5 KB
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01. Introduction.html	6.3 KB
02. Applications-CV6B84mKRNM.en.vtt	3.3 KB
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06. Reference Guide.html	6.2 KB
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/Part 02-Module 03-Lesson 02_The RL Framework The Problem/
01. Introduction-X_9l_ZqXXBA.en.vtt	0.8 KB
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01. Introduction.html	7.7 KB
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03. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt	2.9 KB
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12. Quiz Pole-Balancing.html	13.0 KB
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/Part 02-Module 03-Lesson 03_The RL Framework The Solution/
01. Introduction.html	6.6 KB
01. M0 L3 C01 Intro- V3 No Slack-OH-5IlSH-eoPAU.mp4	6.4 MB
02. Policies-hc3LrvaC13U.en.vtt	4.9 KB
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13. Summary.html	11.9 KB
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/Part 02-Module 03-Lesson 04_Dynamic Programming/
01. Introduction-ek2PD9RDrWw.en.vtt	1.1 KB
01. Introduction-ek2PD9RDrWw.mp4	6.5 MB
01. Introduction-ek2PD9RDrWw.pt-BR.vtt	1.1 KB
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01. Introduction.html	8.9 KB
02. OpenAI Gym FrozenLakeEnv.html	11.4 KB
03. Your Workspace.html	10.9 KB
04. Another Gridworld Example-n9SbomnLb-U.en.vtt	2.1 KB
04. Another Gridworld Example-n9SbomnLb-U.mp4	4.9 MB
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05. An Iterative Method, Part 1.html	8.3 KB
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05. An Iterative Method-AX-hG3KvwzY.mp4	28.9 MB
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07. Quiz An Iterative Method.html	12.6 KB
08. Iterative Policy Evaluation.html	8.0 KB
08. M1 L1 C05 V3 No Slack-OH-fVUpoyZDyGE.mp4	7.8 MB
09. Implementation.html	13.8 KB
10. Mini Project DP (Parts 0 and 1).html	8.7 KB
11. Action Values.html	13.2 KB
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13. Mini Project DP (Part 2).html	8.7 KB
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17. Policy Iteration.html	8.3 KB
18. Implementation.html	9.2 KB
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21. Implementation.html	10.8 KB
22. Mini Project DP (Part 5).html	8.7 KB
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/Part 02-Module 03-Lesson 05_Monte Carlo Methods/
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01. Introduction.html	8.1 KB
02. OpenAI Gym BlackjackEnv.html	10.3 KB
03. MC Prediction State Values-0q2wSWyuBj8.en.vtt	8.7 KB
03. MC Prediction State Values-0q2wSWyuBj8.mp4	35.0 MB
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/Part 02-Module 03-Lesson 06_Temporal-Difference Methods/
01. Introduction-yXErXQulI_o.en.vtt	3.0 KB
01. Introduction-yXErXQulI_o.mp4	21.7 MB
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01. Introduction.html	7.3 KB
02. OpenAI Gym CliffWalkingEnv.html	9.2 KB
03. TD Prediction TD(0)-CsD6b0csU7o.en.vtt	9.0 KB
03. TD Prediction TD(0)-CsD6b0csU7o.mp4	31.6 MB
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/Part 02-Module 03-Lesson 07_Solve OpenAI Gym's Taxi-v2 Task/
01. Introduction.html	9.0 KB
02. Instructions.html	12.0 KB
03. Mini Project.html	6.1 KB
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open-agent-monitor-main.gif	2.9 MB
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/Part 02-Module 04-Lesson 01_RL in Continuous Spaces/
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02. Resources.html	9.2 KB
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03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4	22.4 MB
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12. Kernel Functions-RdkPVYyVOvU.en.vtt	3.0 KB
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14. Summary-MTEBk43oByU.en.vtt	1.7 KB
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/Part 02-Module 04-Lesson 02_Deep Q-Learning/
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01. Intro to Deep Q-Learning-o3cmuUDhP3I.mp4	9.5 MB
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02. Neural Nets as Value Functions-cBi7vLrk8QQ.en.vtt	3.8 KB
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03. Monte Carlo Learning-qOviWYwcvsg.en.vtt	2.9 KB
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04. Temporal Difference Learning-lpmDi0QeUm8.en.vtt	4.2 KB
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/Part 02-Module 04-Lesson 03_Policy-Based Methods/
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/Part 02-Module 04-Lesson 04_Actor-Critic Methods/
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/Part 02-Module 04-Lesson 05_Teach a Quadcopter How to Fly/
01. Project Intro.html	10.7 KB
02. Quadcopter workspace.html	6.9 KB
03. Replay Buffer.html	7.4 KB
04. DDPG Actor.html	10.7 KB
05. DDPG Critic.html	10.1 KB
06. DDPG Agent.html	11.5 KB
07. Ornstein–Uhlenbeck Noise.html	8.2 KB
08. Troubleshooting.html	9.6 KB
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/Part 02-Module 05-Lesson 01_Reinforcement Learning Assessment/
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index.html	4.2 KB
/Part 02-Module 06-Lesson 01_Optimize Your GitHub Profile/
01. Prove Your Skills With GitHub.html	11.2 KB
02. Introduction-Vnj2VNQROtI.ar.vtt	2.3 KB
02. Introduction-Vnj2VNQROtI.en.vtt	1.6 KB
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02. Introduction-Vnj2VNQROtI.mp4	10.1 MB
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03. GitHub profile important items-prvPVTjVkwQ.ar.vtt	4.0 KB
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03. GitHub profile important items-prvPVTjVkwQ.ja-JP.vtt	3.4 KB
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03. GitHub profile important items.html	8.4 KB
04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt	2.6 KB
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05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt	4.7 KB
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05. Interview with Art - Part 1-ClLYamtaO-Q.ja-JP.vtt	4.4 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.mp4	22.8 MB
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05. Interview with Art - Part 1.html	8.1 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt	0.5 KB
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06. Identify fixes for example “bad” profile-AF07y1oAim0.ja-JP.vtt	0.5 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4	583.0 KB
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07. Quick Fixes #1.html	7.9 KB
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08. Quick Fixes #2-It6AEuSDQw0.ar.vtt	0.6 KB
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09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt	1.5 KB
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10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt	2.9 KB
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10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4	13.8 MB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt	2.5 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt	2.1 KB
10. Interview with Art - Part 2.html	8.1 KB
11. Commit messages best practices.html	10.3 KB
12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt	0.7 KB
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12. Reflect on your commit messages-_0AHmKkfjTo.mp4	3.2 MB
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13. Participating in open source projects-OxL-gMTizUA.ar.vtt	0.8 KB
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13. Participating in open source projects-OxL-gMTizUA.mp4	2.9 MB
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14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt	5.5 KB
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14. Interview with Art - Part 3-M6PKr3S1rPg.mp4	26.3 MB
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14. Interview with Art - Part 3.html	8.1 KB
15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt	2.2 KB
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15. Participating in open source projects 2-elZCLxVvJrY.mp4	3.5 MB
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15. Participating in open source projects 2.html	8.2 KB
16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt	0.5 KB
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16. Starring interesting repositories-U3FUxkm1MxI.mp4	2.6 MB
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16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt	0.8 KB
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16. Starring interesting repositories-ZwMY5rAAd7Q.mp4	3.6 MB
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16. Starring interesting repositories.html	9.7 KB
17. Next Steps.html	8.3 KB
Project Description - Optimize Your GitHub Profile.html	10.1 KB
Project Rubric - Optimize Your GitHub Profile.html	10.1 KB
index.html	6.0 KB
/img/
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/Part 02-Module 06-Lesson 02_Take 30 Min to Improve your LinkedIn/
01. Get Opportunities with LinkedIn.html	11.3 KB
01. Why Network-exjEm9Paszk.ar.vtt	5.3 KB
01. Why Network-exjEm9Paszk.en.vtt	3.5 KB
01. Why Network-exjEm9Paszk.es-MX.vtt	3.3 KB
01. Why Network-exjEm9Paszk.ja-JP.vtt	4.4 KB
01. Why Network-exjEm9Paszk.mp4	18.2 MB
01. Why Network-exjEm9Paszk.pt-BR.vtt	3.3 KB
01. Why Network-exjEm9Paszk.zh-CN.vtt	3.4 KB
02. Meet Chris-0ccflD9x5WU.ar.vtt	6.5 KB
02. Meet Chris-0ccflD9x5WU.en.vtt	5.0 KB
02. Meet Chris-0ccflD9x5WU.es-MX.vtt	4.6 KB
02. Meet Chris-0ccflD9x5WU.ja-JP.vtt	5.7 KB
02. Meet Chris-0ccflD9x5WU.mp4	34.1 MB
02. Meet Chris-0ccflD9x5WU.pt-BR.vtt	4.6 KB
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02. Use Your Story to Stand Out.html	9.0 KB
03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt	5.3 KB
03. Elevator Pitch-S-nAHPrkQrQ.en.vtt	3.6 KB
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03. Elevator Pitch-S-nAHPrkQrQ.ja-JP.vtt	4.5 KB
03. Elevator Pitch-S-nAHPrkQrQ.mp4	21.6 MB
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03. Why Use an Elevator Pitch.html	7.5 KB
04. Create Your Elevator Pitch.html	8.7 KB
04. Elevator Pitch-0QtgTG49E9I.ar.vtt	2.3 KB
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04. Elevator Pitch-0QtgTG49E9I.mp4	10.5 MB
04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt	2.0 KB
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04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt	2.2 KB
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04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4	9.4 MB
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04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt	1.8 KB
05. Use Your Elevator Pitch on LinkedIn.html	10.0 KB
06. Create Your Profile With SEO In Mind.html	9.7 KB
07. Profile Essentials.html	11.5 KB
08. Work Experiences Accomplishments.html	9.9 KB
09. Build and Strengthen Your Network.html	10.9 KB
10. Reaching Out on LinkedIn.html	9.6 KB
11. Boost Your Visibility.html	8.8 KB
12. Up Next.html	8.2 KB
Project Description - Improve Your LinkedIn Profile.html	8.2 KB
Project Rubric - Improve Your LinkedIn Profile.html	16.7 KB
index.html	5.6 KB
/img/
profile-pics.jpg	609.9 KB
redacted-linkedinresults.png	236.3 KB
screen-shot-2018-02-23-at-5.00.25-pm.png	772.4 KB
screen-shot-2018-02-23-at-5.11.40-pm.png	205.5 KB
screen-shot-2018-09-21-at-11.36.43-am.png	1.8 MB
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/media/
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/Part 02-Module 07-Lesson 01_Writing up a Capstone Proposal/
01. Overview.html	7.9 KB
02. Description.html	7.5 KB
03. Software and Data Requirements.html	8.4 KB
04. Proposal Guidelines.html	7.5 KB
05. Submitting the Project.html	7.1 KB
Project Description - Capstone Proposal.html	9.8 KB
Project Rubric - Capstone Proposal.html	9.6 KB
index.html	4.8 KB
/Part 02-Module 08-Lesson 01_Machine Learning Capstone Project/
01. Overview.html	7.6 KB
02. Description.html	8.7 KB
03. Software and Data Requirements.html	8.6 KB
04. Report Guidelines.html	7.6 KB
05. Example Reports.html	8.5 KB
06. Submitting the Project.html	8.1 KB
Project Description - Capstone Project.html	11.3 KB
Project Rubric - Capstone Project.html	13.4 KB
index.html	4.8 KB
/Part 03-Module 01-Lesson 01_Software and Tools/
01. TensorFlow.html	6.8 KB
index.html	4.2 KB
/Part 03-Module 01-Lesson 02_Deep Learning/
01. Deep Learning.html	6.4 KB
02. What You'll Watch and Learn.html	6.0 KB
03. Deep Learning What You'll Do.html	6.4 KB
index.html	4.4 KB
/Part 03-Module 02-Lesson 01_Intro to TensorFlow/
01. What Is Deep Learning-INt1nULYPak.en.vtt	1.6 KB
01. What Is Deep Learning-INt1nULYPak.ja-JP.vtt	1.9 KB
01. What Is Deep Learning-INt1nULYPak.mp4	6.1 MB
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01. What is Deep Learning .html	8.5 KB
02. Solving Problems - Big And Small-WHcRQMGSbqg.en.vtt	2.5 KB
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02. Solving Problems - Big And Small-WHcRQMGSbqg.mp4	9.6 MB
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02. Solving Problems - Big and Small .html	8.6 KB
03. Let'S Get Started-ySIDqaXLhHw.en.vtt	1.3 KB
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03. Let's Get Started .html	8.5 KB
04. Installing TensorFlow.html	10.9 KB
05. Hello, Tensor World!.html	11.0 KB
06. Transition to Classification.html	9.6 KB
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07. Supervised Classification.html	8.6 KB
08. Training Your Logistic Classifier .html	8.6 KB
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09. Quiz TensorFlow Linear Function.html	24.3 KB
10. Quiz TensorFlow Softmax.html	11.3 KB
11. ReLU and Softmax Activation Functions.html	17.5 KB
12. 13 L One Hot Encoding-phYsxqlilUk.en.vtt	0.7 KB
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12. 13 L One Hot Encoding-phYsxqlilUk.mp4	750.0 KB
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12. One-Hot Encoding.html	9.6 KB
13. Quiz TensorFlow Cross Entropy.html	11.6 KB
14. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.en-US.vtt	3.1 KB
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14. Minimizing Cross Entropy.html	8.6 KB
15. Categorical Cross-Entropy.html	11.7 KB
16. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.en-US.vtt	0.8 KB
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16. Practical Aspects of Learning.html	8.7 KB
17. Numerical Stability-_SbGcOS-jcQ.en-US.vtt	0.8 KB
17. Numerical Stability-_SbGcOS-jcQ.ja-JP.vtt	0.8 KB
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18. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.en.vtt	4.4 KB
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18. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.mp4	4.3 MB
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18. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.zh-CN.vtt	3.7 KB
18. Normalized Inputs and Initial Weights .html	8.7 KB
19. 21 L Measuring Performance-byP0DJImOSk.en-US.vtt	5.9 KB
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19. 21 L Measuring Performance-byP0DJImOSk.mp4	5.8 MB
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19. Measuring Performance .html	8.6 KB
20. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.en-US.vtt	0.8 KB
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20. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.mp4	3.6 MB
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20. Optimizing a Logistic Classifier.html	8.7 KB
21. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.en.vtt	4.2 KB
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21. Stochastic Gradient Descent.html	8.6 KB
22. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.en.vtt	2.4 KB
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22. Momentum and Learning Rate Decay.html	8.6 KB
23. 32 L Parameter Hyperspace!-5a3-iIhdguc.en.vtt	2.4 KB
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23. 32 L Parameter Hyperspace!-5a3-iIhdguc.mp4	2.3 MB
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23. Parameter Hyperspace .html	8.5 KB
24. Quiz Mini-batch.html	28.3 KB
25. Epochs.html	15.4 KB
index.html	6.4 KB
/img/
06-l-supervised-classification-391-1.jpg	28.3 KB
cross-entropy-diagram.png	64.2 KB
linear-equation.gif	1.3 KB
mnist-012.png	20.7 KB
notmnist.png	55.5 KB
relu.png	33.9 KB
session.png	31.6 KB
sigmoids.png	59.6 KB
softmax-input-output.png	53.7 KB
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softmax.png	27.7 KB
tensorflow.png	87.3 KB
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/Part 03-Module 03-Lesson 01_Intro to Neural Networks/
01. Introducing Luis-nto-stLuN6M.en-US.vtt	0.6 KB
01. Introducing Luis-nto-stLuN6M.mp4	3.8 MB
01. Introducing Luis-nto-stLuN6M.pt-BR.vtt	0.6 KB
01. Introducing Luis-nto-stLuN6M.zh-CN.vtt	0.5 KB
01. Introducing Luis.html	7.3 KB
02. Logistic Regression - Question-kSs6O3R7JUI.en-US.vtt	2.3 KB
02. Logistic Regression - Question-kSs6O3R7JUI.ja-JP.vtt	2.4 KB
02. Logistic Regression - Question-kSs6O3R7JUI.mp4	3.6 MB
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02. Logistic Regression Quiz.html	8.4 KB
03. Logistic Regression - Solution-1iNylA3fJDs.en-US.vtt	6.1 KB
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03. Logistic Regression - Solution-1iNylA3fJDs.mp4	7.7 MB
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03. Logistic Regression - Solution-1iNylA3fJDs.zh-CN.vtt	5.3 KB
03. Logistic Regression Answer.html	7.5 KB
04. Neural Networks-Mqogpnp1lrU.en.vtt	10.4 KB
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04. Neural Networks-Mqogpnp1lrU.mp4	15.6 MB
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04. Neural Networks.html	7.4 KB
05. Perceptron.html	22.9 KB
06. AND Perceptron Quiz.html	11.2 KB
07. OR NOT Perceptron Quiz.html	11.8 KB
08. XOR Perceptron Quiz.html	11.8 KB
09. The Simplest Neural Network.html	14.5 KB
10. Gradient Descent-29PmNG7fuuM.en.vtt	1.6 KB
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10. Gradient Descent-29PmNG7fuuM.mp4	2.6 MB
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10. Gradient Descent-29PmNG7fuuM.zh-CN.vtt	1.4 KB
10. Gradient Descent.html	14.6 KB
11. Gradient Descent The Math.html	7.8 KB
11. Gradient Descent-Math-7sxA5Ap8AWM.en.vtt	11.1 KB
11. Gradient Descent-Math-7sxA5Ap8AWM.ja-JP.vtt	11.7 KB
11. Gradient Descent-Math-7sxA5Ap8AWM.mp4	11.8 MB
11. Gradient Descent-Math-7sxA5Ap8AWM.pt-BR.vtt	11.1 KB
11. Gradient Descent-Math-7sxA5Ap8AWM.zh-CN.vtt	9.7 KB
12. Gradient Descent The Code.html	12.6 KB
13. Implementing Gradient Descent.html	28.9 KB
14. Multilayer Perceptrons.html	23.3 KB
14. Multilayer perceptrons-Rs9petvTBLk.en-US.vtt	1.7 KB
14. Multilayer perceptrons-Rs9petvTBLk.ja-JP.vtt	2.0 KB
14. Multilayer perceptrons-Rs9petvTBLk.mp4	3.0 MB
14. Multilayer perceptrons-Rs9petvTBLk.pt-BR.vtt	1.7 KB
14. Multilayer perceptrons-Rs9petvTBLk.zh-CN.vtt	1.4 KB
15. Backpropagation-MZL97-2joxQ.en-US.vtt	2.5 KB
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15. Backpropagation-MZL97-2joxQ.mp4	3.6 MB
15. Backpropagation-MZL97-2joxQ.pt-BR.vtt	2.5 KB
15. Backpropagation-MZL97-2joxQ.zh-CN.vtt	2.2 KB
15. Backpropagation.html	21.6 KB
16. Implementing Backpropagation.html	23.5 KB
17. Further Reading.html	7.3 KB
index.html	5.6 KB
/img/
a-b-c-fill-nn.png	312.8 KB
admissions-data.png	121.2 KB
and-table.png	70.8 KB
backprop-error.gif	3.0 KB
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derivative-example.png	56.4 KB
example-after-bias.png	67.3 KB
example-before-bias.png	37.8 KB
example-data.png	94.3 KB
gradient-descent.png	73.7 KB
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hidden-errors.gif	2.9 KB
hidden-layer-weights.gif	1.8 KB
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hq-new-xor-table.png	39.5 KB
hq-perceptron.png	118.7 KB
input-times-weights.png	53.1 KB
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legend.png	104.5 KB
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logistic-regression-quiz.png	1.0 MB
mat-headshot.png	184.3 KB
matrix-mult-3.png	80.9 KB
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multilayer-diagram-weights.png	49.7 KB
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network-with-labeled-weights.png	60.9 KB
perceptron-equation-2.gif	6.2 KB
perceptron-formula.gif	5.9 KB
perceptron-graphics.001.jpeg	238.2 KB
sigmoid.png	28.4 KB
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weight-label-reference.gif	2.9 KB
/Part 03-Module 04-Lesson 01_Deep Neural Networks/
01. Intro to Deep Neural Networks.html	6.7 KB
01. Mat HS-9P7UPWFu8w8.en-US.vtt	1.6 KB
01. Mat HS-9P7UPWFu8w8.mp4	8.9 MB
01. Mat HS-9P7UPWFu8w8.zh-CN.vtt	1.4 KB
02. Two-Layer Neural Network.html	7.3 KB
03. Quiz TensorFlow ReLUs.html	10.4 KB
04. Deep Neural Network in TensorFlow.html	12.6 KB
05. Training a Deep Learning Network-CsB7yUtMJyk.en.vtt	2.1 KB
05. Training a Deep Learning Network-CsB7yUtMJyk.ja-JP.vtt	2.5 KB
05. Training a Deep Learning Network-CsB7yUtMJyk.mp4	2.7 MB
05. Training a Deep Learning Network-CsB7yUtMJyk.pt-BR.vtt	2.1 KB
05. Training a Deep Learning Network-CsB7yUtMJyk.zh-CN.vtt	1.9 KB
05. Training a Deep Learning Network.html	7.1 KB
06. Save and Restore TensorFlow Models.html	15.8 KB
07. Finetuning.html	11.0 KB
08. Regularization Intro-pECnr-5F3_Q.en-US.vtt	1.5 KB
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08. Regularization Intro-pECnr-5F3_Q.mp4	8.7 MB
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09. Regularization-QcJBhbuCl5g.mp4	1.6 MB
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09. Regularization.html	6.9 KB
10. Regularization Quiz.html	8.1 KB
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10. Regularization-Quiz-E0eEW6V0_sA.mp4	612.7 KB
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11. Dropout RENDER-6DcImJS8uV8.en-US.vtt	2.7 KB
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11. Dropout RENDER-6DcImJS8uV8.mp4	2.7 MB
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11. Dropout RENDER-6DcImJS8uV8.zh-CN.vtt	2.4 KB
11. Dropout.html	6.9 KB
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12. Dropout Pt. 2-8nG8zzJMbZw.mp4	1.3 MB
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12. Dropout Pt. 2-8nG8zzJMbZw.zh-CN.vtt	1.1 KB
12. Dropout Pt. 2.html	6.9 KB
13. Quiz TensorFlow Dropout.html	14.7 KB
index.html	5.2 KB
/img/
dropout-node.jpeg	64.2 KB
layers.png	293.0 KB
multi-layer.png	219.5 KB
regularization-quiz.png	431.0 KB
relu-network.png	31.8 KB
two-layer-network.png	17.6 KB
/Part 03-Module 05-Lesson 01_Convolutional Neural Networks/
01. Intro To CNNs.html	9.5 KB
01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt	0.3 KB
01. Intro to CNNs-B61jxZ4rkMs.en.vtt	0.3 KB
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01. Intro to CNNs-B61jxZ4rkMs.mp4	1.9 MB
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02. Color-Question-BdQccpMwk80.en.vtt	0.7 KB
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02. Color-Question-BdQccpMwk80.mp4	839.5 KB
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02. Color.html	10.1 KB
03. Statistical Invariance-0Hr5YwUUhr0.en.vtt	2.5 KB
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03. Statistical Invariance-0Hr5YwUUhr0.mp4	2.3 MB
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03. Statistical Invariance-0Hr5YwUUhr0.zh-CN.vtt	2.2 KB
03. Statistical Invariance.html	9.5 KB
04. Convolutional Networks-ISHGyvsT0QY.en.vtt	4.5 KB
04. Convolutional Networks-ISHGyvsT0QY.ja-JP.vtt	5.1 KB
04. Convolutional Networks-ISHGyvsT0QY.mp4	8.8 MB
04. Convolutional Networks-ISHGyvsT0QY.pt-BR.vtt	4.6 KB
04. Convolutional Networks-ISHGyvsT0QY.zh-CN.vtt	3.9 KB
04. Convolutional Networks.html	9.5 KB
05. Intuition.html	14.9 KB
06. Filters.html	15.6 KB
07. Feature Map Sizes.html	12.2 KB
07. Feature-Map-Sizes-Question-lp1NrLZnCUM.en.vtt	0.6 KB
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07. Feature-Map-Sizes-Question-lp1NrLZnCUM.mp4	725.9 KB
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07. Feature-Map-Sizes-Question-lp1NrLZnCUM.zh-CN.vtt	0.6 KB
07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.en.vtt	1.1 KB
07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.ja-JP.vtt	1.2 KB
07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.mp4	1.2 MB
07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.pt-BR.vtt	1.1 KB
07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.zh-CN.vtt	1.0 KB
08. Convolutions Cont.-utOv-BKI_vo.en.vtt	1.1 KB
08. Convolutions Cont.-utOv-BKI_vo.ja-JP.vtt	1.2 KB
08. Convolutions Cont.-utOv-BKI_vo.mp4	1.7 MB
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08. Convolutions Cont.-utOv-BKI_vo.zh-CN.vtt	0.9 KB
08. Convolutions continued.html	9.8 KB
09. Parameters.html	14.9 KB
10. Quiz Convolution Output Shape.html	10.4 KB
11. Solution Convolution Output Shape.html	10.9 KB
12. Quiz Number of Parameters.html	10.4 KB
13. Solution Number of Parameters.html	9.3 KB
14. Quiz Parameter Sharing.html	10.6 KB
15. Solution Parameter Sharing.html	9.5 KB
16. Visualizing CNNs.html	16.6 KB
17. TensorFlow Convolution Layer.html	11.3 KB
18. Explore The Design Space.html	9.5 KB
18. Explore the Design Space-FG7M9tWH2nQ.en.vtt	3.5 KB
18. Explore the Design Space-FG7M9tWH2nQ.ja-JP.vtt	4.2 KB
18. Explore the Design Space-FG7M9tWH2nQ.mp4	5.2 MB
18. Explore the Design Space-FG7M9tWH2nQ.pt-BR.vtt	3.7 KB
18. Explore the Design Space-FG7M9tWH2nQ.zh-CN.vtt	3.0 KB
19. TensorFlow Max Pooling.html	11.7 KB
20. Quiz Pooling Intuition.html	10.1 KB
21. Solution Pooling Intuition.html	9.7 KB
22. Quiz Pooling Mechanics.html	10.6 KB
23. Solution Pooling Mechanics.html	9.6 KB
24. Quiz Pooling Practice.html	9.9 KB
25. Solution Pooling Practice.html	9.2 KB
26. Quiz Average Pooling.html	9.8 KB
27. Solution Average Pooling.html	9.2 KB
28. 1x1 Convolutions-Zmzgerm6SjA.en.vtt	1.7 KB
28. 1x1 Convolutions-Zmzgerm6SjA.ja-JP.vtt	1.9 KB
28. 1x1 Convolutions-Zmzgerm6SjA.mp4	3.3 MB
28. 1x1 Convolutions-Zmzgerm6SjA.pt-BR.vtt	1.9 KB
28. 1x1 Convolutions-Zmzgerm6SjA.zh-CN.vtt	1.5 KB
28. 1x1 Convolutions.html	9.4 KB
29. Inception Module-SlTm03bEOxA.en.vtt	1.6 KB
29. Inception Module-SlTm03bEOxA.ja-JP.vtt	1.8 KB
29. Inception Module-SlTm03bEOxA.mp4	7.8 MB
29. Inception Module-SlTm03bEOxA.pt-BR.vtt	1.6 KB
29. Inception Module-SlTm03bEOxA.zh-CN.vtt	1.5 KB
29. Inception Module.html	9.5 KB
30. Convolutional Network in TensorFlow.html	19.9 KB
31. TensorFlow Convolution Layer.html	12.7 KB
32. Solution TensorFlow Convolution Layer.html	10.6 KB
33. TensorFlow Pooling Layer.html	11.3 KB
34. Solution TensorFlow Pooling Layer.html	10.2 KB
35. CNNs - Additional Resources.html	9.7 KB
index.html	7.2 KB
/img/
arch.png	1.3 MB
convolution-schematic.gif	65.2 KB
convolutionalnetworksquiz.png	1.2 MB
diagonal-line-1.png	5.9 KB
diagonal-line-2.png	6.8 KB
dog-1210559-1280.jpg	228.3 KB
filter-depth.png	130.8 KB
grid-layer-1.png	36.1 KB
heirarchy-diagram.jpg	54.9 KB
layer-1-grid.png	46.8 KB
max-pooling.png	25.8 KB
maxpool.jpeg	38.0 KB
neilsen-pic.png	11.5 KB
retriever-patch-shifted.png	453.9 KB
retriever-patch.png	446.0 KB
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vlcsnap-2016-11-24-16h01m35s262.png	349.5 KB
/
[CourseClub.ME].url	0.1 KB
[FCS Forum].url	0.1 KB
[FreeCourseSite.com].url	0.1 KB
index.html	182.0 KB
/assets/css/
bootstrap.min.css	140.9 KB
jquery.mCustomScrollbar.min.css	42.8 KB
katex.min.css	22.1 KB
plyr.css	24.2 KB
styles.css	4.1 KB
/assets/css/fonts/
KaTeX_AMS-Regular.ttf	71.4 KB
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KaTeX_Fraktur-Regular.ttf	34.7 KB
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udacimak.png	472.1 KB
/assets/js/
bootstrap.min.js	51.0 KB
jquery-3.3.1.min.js	86.9 KB
jquery.mCustomScrollbar.concat.min.js	45.5 KB
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plyr.polyfilled.min.js	129.2 KB
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