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Tutorialsplanet NET Udemy Learning Python for Data Analysis and Visualization

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[Tutorialsplanet.NET] Udemy - Learning Python for Data Analysis and Visualization

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Total Size

4.3 GB

Total Files

226

Hash

BE97767DEB11BC7B5DA0E64F57327334C3CB1F0B

/1. Intro to Course and Python/

1. Course Intro.mp4

13.9 MB

1. Course Intro.srt

5.5 KB

2. Course FAQs.html

7.1 KB

/10. Machine Learning/

1. Introduction to Machine Learning with SciKit Learn.mp4

48.4 MB

1. Introduction to Machine Learning with SciKit Learn.srt

19.3 KB

10. Multi Class Classification Part 1 - Logistic Regression.mp4

71.1 MB

10. Multi Class Classification Part 1 - Logistic Regression.srt

22.8 KB

11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4

77.1 MB

11. Multi Class Classification Part 2 - k Nearest Neighbor.srt

28.0 KB

12. Support Vector Machines Part 1.mp4

68.1 MB

12. Support Vector Machines Part 1.srt

18.6 KB

13. Support Vector Machines - Part 2.mp4

90.0 MB

13. Support Vector Machines - Part 2.srt

33.7 KB

14. Naive Bayes Part 1.mp4

37.4 MB

14. Naive Bayes Part 1.srt

13.8 KB

15. Naive Bayes Part 2.mp4

68.7 MB

15. Naive Bayes Part 2.srt

16.3 KB

16. Decision Trees and Random Forests.mp4

252.2 MB

16. Decision Trees and Random Forests.srt

41.2 KB

17. Natural Language Processing Part 1.mp4

65.8 MB

17. Natural Language Processing Part 1.srt

10.8 KB

18. Natural Language Processing Part 2.mp4

107.0 MB

18. Natural Language Processing Part 2.srt

20.5 KB

19. Natural Language Processing Part 3.mp4

156.2 MB

19. Natural Language Processing Part 3.srt

27.5 KB

2. Linear Regression Part 1.mp4

61.5 MB

2. Linear Regression Part 1.srt

26.2 KB

20. Natural Language Processing Part 4.mp4

118.2 MB

20. Natural Language Processing Part 4.srt

20.2 KB

3. Linear Regression Part 2.mp4

55.1 MB

3. Linear Regression Part 2.srt

26.2 KB

4. Linear Regression Part 3.mp4

72.2 MB

4. Linear Regression Part 3.srt

26.3 KB

5. Linear Regression Part 4.mp4

82.5 MB

5. Linear Regression Part 4.srt

33.2 KB

6. Logistic Regression Part 1.mp4

75.3 MB

6. Logistic Regression Part 1.srt

19.8 KB

7. Logistic Regression Part 2.mp4

54.3 MB

7. Logistic Regression Part 2.srt

18.4 KB

8. Logistic Regression Part 3.mp4

41.6 MB

8. Logistic Regression Part 3.srt

14.4 KB

9. Logistic Regression Part 4.mp4

102.7 MB

9. Logistic Regression Part 4.srt

26.9 KB

/11. Appendix Statistics Overview/

1. Intro to Appendix B.mp4

7.6 MB

1. Intro to Appendix B.srt

4.7 KB

1.1 Viewer Link For Stats Notes.txt

0.1 KB

10. Chi Square Test and Distribution.mp4

16.5 MB

10. Chi Square Test and Distribution.srt

4.3 KB

11. Bayes Theorem.mp4

38.6 MB

11. Bayes Theorem.srt

14.2 KB

2. Discrete Uniform Distribution.mp4

22.9 MB

2. Discrete Uniform Distribution.srt

10.4 KB

3. Continuous Uniform Distribution.mp4

26.5 MB

3. Continuous Uniform Distribution.srt

11.0 KB

4. Binomial Distribution.mp4

43.8 MB

4. Binomial Distribution.srt

19.8 KB

5. Poisson Distribution.mp4

42.2 MB

5. Poisson Distribution.srt

17.5 KB

6. Normal Distribution.mp4

20.4 MB

6. Normal Distribution.srt

9.7 KB

7. Sampling Techniques.mp4

23.1 MB

7. Sampling Techniques.srt

7.9 KB

8. T-Distribution.mp4

17.2 MB

8. T-Distribution.srt

8.0 KB

9. Hypothesis Testing and Confidence Intervals.mp4

82.7 MB

9. Hypothesis Testing and Confidence Intervals.srt

28.0 KB

/12. Appendix SQL and Python/

1. Introduction to SQL with Python.mp4

45.9 MB

1. Introduction to SQL with Python.srt

16.8 KB

2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4

33.9 MB

2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt

15.4 KB

3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4

29.5 MB

3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt

13.2 KB

/13. Appendix Web Scraping with Python/

1. Web Scraping Part 1.mp4

39.1 MB

1. Web Scraping Part 1.srt

18.2 KB

2. Web Scraping Part 2.mp4

46.0 MB

2. Web Scraping Part 2.srt

16.5 KB

/14. Appendix Python Special Offers/

1. Python Overview Part 1.mp4

36.1 MB

1. Python Overview Part 1.srt

23.0 KB

2. Python Overview Part 2.mp4

23.0 MB

2. Python Overview Part 2.srt

16.6 KB

3. Python Overview Part 3.mp4

20.9 MB

3. Python Overview Part 3.srt

14.5 KB

/15. BONUS SECTION THANK YOU!/

1. Bonus Lecture.html

0.5 KB

/2. Setup/

1. Installation Setup and Overview.mp4

46.0 MB

1. Installation Setup and Overview.srt

10.0 KB

1.1 Link for FAQ.html

0.1 KB

1.2 Link to Code Notebooks for Course!.html

0.1 KB

2. IDEs and Course Resources.mp4

31.8 MB

2. IDEs and Course Resources.srt

14.9 KB

2.1 Link to Code Notebooks for Course!.html

0.1 KB

3. iPythonJupyter Notebook Overview.mp4

72.3 MB

3. iPythonJupyter Notebook Overview.srt

21.0 KB

3.1 Lecture 4 Info.txt

0.2 KB

3.2 Link to Code Notebooks for Course!.html

0.1 KB

/3. Learning Numpy/

1. Intro to numpy.html

0.9 KB

2. Creating arrays.mp4

13.7 MB

2. Creating arrays.srt

9.8 KB

3. Using arrays and scalars.mp4

8.3 MB

3. Using arrays and scalars.srt

6.7 KB

4. Indexing Arrays.mp4

27.4 MB

4. Indexing Arrays.srt

19.2 KB

5. Array Transposition.mp4

7.9 MB

5. Array Transposition.srt

5.1 KB

6. Universal Array Function.mp4

15.7 MB

6. Universal Array Function.srt

7.9 KB

7. Array Processing.mp4

43.0 MB

7. Array Processing.srt

24.9 KB

8. Array Input and Output.mp4

14.7 MB

8. Array Input and Output.srt

9.8 KB

/4. Intro to Pandas/

1. Series.mp4

26.0 MB

1. Series.srt

16.9 KB

10. Missing Data.mp4

19.8 MB

10. Missing Data.srt

14.7 KB

11. Index Hierarchy.mp4

25.2 MB

11. Index Hierarchy.srt

17.9 KB

2. DataFrames.mp4

55.4 MB

2. DataFrames.srt

20.8 KB

3. Index objects.mp4

9.7 MB

3. Index objects.srt

5.9 KB

4. Reindex.mp4

33.8 MB

4. Reindex.srt

18.7 KB

5. Drop Entry.mp4

9.7 MB

5. Drop Entry.srt

6.9 KB

6. Selecting Entries.mp4

19.0 MB

6. Selecting Entries.srt

16.6 MB

7. Data Alignment.mp4

18.6 MB

7. Data Alignment.srt

12.5 KB

8. Rank and Sort.mp4

9.9 MB

8. Rank and Sort.srt

7.6 KB

9. Summary Statistics.mp4

48.3 MB

9. Summary Statistics.srt

30.1 KB

/5. Working with Data Part 1/

1. Reading and Writing Text Files.mp4

26.0 MB

1. Reading and Writing Text Files.srt

13.4 KB

2. JSON with Python.mp4

9.4 MB

2. JSON with Python.srt

5.8 KB

3. HTML with Python.mp4

14.1 MB

3. HTML with Python.srt

5.7 KB

4. Microsoft Excel files with Python.mp4

8.0 MB

4. Microsoft Excel files with Python.srt

5.4 KB

/6. Working with Data Part 2/

1. Merge.mp4

38.1 MB

1. Merge.srt

23.6 KB

10. Rename Index.mp4

10.6 MB

10. Rename Index.srt

7.5 KB

11. Binning.mp4

13.7 MB

11. Binning.srt

8.1 KB

12. Outliers.mp4

17.0 MB

12. Outliers.srt

8.5 KB

13. Permutation.mp4

9.2 MB

13. Permutation.srt

6.6 KB

2. Merge on Index.mp4

26.5 MB

2. Merge on Index.srt

14.9 KB

3. Concatenate.mp4

22.2 MB

3. Concatenate.srt

12.9 KB

4. Combining DataFrames.mp4

20.8 MB

4. Combining DataFrames.srt

13.1 KB

5. Reshaping.mp4

15.1 MB

5. Reshaping.srt

9.2 KB

6. Pivoting.mp4

18.9 MB

6. Pivoting.srt

8.7 KB

7. Duplicates in DataFrames.mp4

11.6 MB

7. Duplicates in DataFrames.srt

7.9 KB

8. Mapping.mp4

8.2 MB

8. Mapping.srt

5.3 KB

9. Replace.mp4

5.4 MB

9. Replace.srt

4.6 KB

/7. Working with Data Part 3/

1. GroupBy on DataFrames.mp4

38.1 MB

1. GroupBy on DataFrames.srt

22.7 KB

2. GroupBy on Dict and Series.mp4

24.5 MB

2. GroupBy on Dict and Series.srt

15.7 KB

3. Aggregation.mp4

45.9 MB

3. Aggregation.srt

18.6 KB

4. Splitting Applying and Combining.mp4

23.2 MB

4. Splitting Applying and Combining.srt

12.4 KB

5. Cross Tabulation.mp4

9.3 MB

5. Cross Tabulation.srt

6.9 KB

/8. Data Visualization/

1. Installing Seaborn.mp4

7.6 MB

1. Installing Seaborn.srt

2.7 KB

2. Histograms.mp4

21.2 MB

2. Histograms.srt

12.9 KB

3. Kernel Density Estimate Plots.mp4

64.9 MB

3. Kernel Density Estimate Plots.srt

34.7 KB

4. Combining Plot Styles.mp4

12.2 MB

4. Combining Plot Styles.srt

8.6 KB

5. Box and Violin Plots.mp4

19.2 MB

5. Box and Violin Plots.srt

11.3 KB

6. Regression Plots.mp4

36.5 MB

6. Regression Plots.srt

25.5 KB

7. Heatmaps and Clustered Matrices.mp4

41.0 MB

7. Heatmaps and Clustered Matrices.srt

22.6 KB

/9. Example Projects/

1. Data Projects Preview.mp4

38.9 MB

1. Data Projects Preview.srt

5.4 KB

10. Data Project - Stock Market Analysis Part 3.mp4

42.0 MB

10. Data Project - Stock Market Analysis Part 3.srt

15.3 KB

11. Data Project - Stock Market Analysis Part 4.mp4

27.2 MB

11. Data Project - Stock Market Analysis Part 4.srt

9.9 KB

12. Data Project - Stock Market Analysis Part 5.mp4

98.5 MB

12. Data Project - Stock Market Analysis Part 5.srt

37.5 KB

13. Data Project - Intro to Election Analysis.mp4

25.4 MB

13. Data Project - Intro to Election Analysis.srt

3.7 KB

14. Data Project - Election Analysis Part 1.mp4

46.7 MB

14. Data Project - Election Analysis Part 1.srt

24.9 KB

15. Data Project - Election Analysis Part 2.mp4

59.1 MB

15. Data Project - Election Analysis Part 2.srt

28.5 KB

16. Data Project - Election Analysis Part 3.mp4

41.0 MB

16. Data Project - Election Analysis Part 3.srt

21.9 KB

17. Data Project - Election Analysis Part 4.mp4

166.6 MB

17. Data Project - Election Analysis Part 4.srt

29.4 KB

2. Intro to Data Projects.mp4

19.6 MB

2. Intro to Data Projects.srt

7.5 KB

2.1 First Data Project.txt

0.3 KB

3. Titanic Project - Part 1.mp4

45.4 MB

3. Titanic Project - Part 1.srt

24.4 KB

3.1 First Data Project.txt

0.3 KB

4. Titanic Project - Part 2.mp4

40.8 MB

4. Titanic Project - Part 2.srt

21.0 KB

5. Titanic Project - Part 3.mp4

36.8 MB

5. Titanic Project - Part 3.srt

19.3 KB

6. Titanic Project - Part 4.mp4

5.6 MB

6. Titanic Project - Part 4.srt

3.7 KB

7. Intro to Data Project - Stock Market Analysis.mp4

34.4 MB

7. Intro to Data Project - Stock Market Analysis.srt

5.3 KB

8. Data Project - Stock Market Analysis Part 1.mp4

34.0 MB

8. Data Project - Stock Market Analysis Part 1.srt

17.7 KB

9. Data Project - Stock Market Analysis Part 2.mp4

59.6 MB

9. Data Project - Stock Market Analysis Part 2.srt

26.1 KB

/

[Tutorialsplanet.NET].url

0.1 KB

 

Total files 226


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