[FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization

Creation Time	June 13, 2024, 10:43 p.m.
Last Access Time	Nov. 13, 2024, 5:09 p.m.
File Size	3.9 GB
Keywords	and Visualization for Python Data - FreeAllCourse Analysis Udemy Learning Com
Total Requests	32
Total Files	227
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9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 158.9 MB
10. Machine Learning/16. Decision Trees and Random Forests.mp4 152.9 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 148.9 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 112.8 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 97.9 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 94.0 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 85.8 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 78.9 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 78.6 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 73.5 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 71.8 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 69.0 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 68.9 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 67.9 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 65.5 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 64.9 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 62.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 61.9 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 59.7 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 58.7 MB
9. Example Projects/9. Data Project - Stock Market Analysis Part 2.mp4 56.9 MB
9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 56.4 MB
4. Intro to Pandas/2. DataFrames.mp4 52.9 MB
10. Machine Learning/3. Linear Regression Part 2.mp4 52.5 MB
10. Machine Learning/7. Logistic Regression Part 2.mp4 51.8 MB
10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.mp4 46.2 MB
4. Intro to Pandas/9. Summary Statistics.mp4 46.1 MB
9. Example Projects/14. Data Project - Election Analysis Part 1.mp4 44.6 MB
13. Appendix Web Scraping with Python/2. Web Scraping Part 2.mp4 43.8 MB
7. Working with Data Part 3/3. Aggregation.mp4 43.8 MB
12. Appendix SQL and Python/1. Introduction to SQL with Python.mp4 43.8 MB
9. Example Projects/3. Titanic Project - Part 1.mp4 43.3 MB
11. Appendix Statistics Overview/4. Binomial Distribution.mp4 41.7 MB
3. Learning Numpy/7. Array Processing.mp4 41.0 MB
11. Appendix Statistics Overview/5. Poisson Distribution.mp4 40.2 MB
9. Example Projects/10. Data Project - Stock Market Analysis Part 3.mp4 40.0 MB
10. Machine Learning/8. Logistic Regression Part 3.mp4 39.7 MB
9. Example Projects/16. Data Project - Election Analysis Part 3.mp4 39.1 MB
8. Data Visualization/7. Heatmaps and Clustered Matrices.mp4 39.1 MB
9. Example Projects/4. Titanic Project - Part 2.mp4 38.9 MB
13. Appendix Web Scraping with Python/1. Web Scraping Part 1.mp4 37.3 MB
9. Example Projects/1. Data Projects Preview.mp4 37.1 MB
11. Appendix Statistics Overview/11. Bayes Theorem.mp4 36.8 MB
6. Working with Data Part 2/1. Merge.mp4 36.3 MB
7. Working with Data Part 3/1. GroupBy on DataFrames.mp4 36.3 MB
10. Machine Learning/14. Naive Bayes Part 1.mp4 35.7 MB
9. Example Projects/5. Titanic Project - Part 3.mp4 35.1 MB
8. Data Visualization/6. Regression Plots.mp4 34.8 MB
14. Appendix Python Special Offers/1. Python Overview Part 1.mp4 34.5 MB
9. Example Projects/7. Intro to Data Project - Stock Market Analysis.mp4 32.8 MB
9. Example Projects/8. Data Project - Stock Market Analysis Part 1.mp4 32.4 MB
12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4 32.3 MB
4. Intro to Pandas/4. Reindex.mp4 32.3 MB
2. Setup/2. IDEs and Course Resources.mp4 30.3 MB
12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 28.1 MB
3. Learning Numpy/4. Indexing Arrays.mp4 26.2 MB
9. Example Projects/11. Data Project - Stock Market Analysis Part 4.mp4 25.9 MB
6. Working with Data Part 2/2. Merge on Index.mp4 25.2 MB
11. Appendix Statistics Overview/3. Continuous Uniform Distribution.mp4 25.2 MB
5. Working with Data Part 1/1. Reading and Writing Text Files.mp4 24.8 MB
4. Intro to Pandas/1. Series.mp4 24.7 MB
2. Setup/1. Installation Setup and Overview.mp4 24.4 MB
9. Example Projects/13. Data Project - Intro to Election Analysis.mp4 24.2 MB
4. Intro to Pandas/11. Index Hierarchy.mp4 24.0 MB
7. Working with Data Part 3/2. GroupBy on Dict and Series.mp4 23.3 MB
7. Working with Data Part 3/4. Splitting Applying and Combining.mp4 22.2 MB
11. Appendix Statistics Overview/7. Sampling Techniques.mp4 22.0 MB
14. Appendix Python Special Offers/2. Python Overview Part 2.mp4 21.9 MB
11. Appendix Statistics Overview/2. Discrete Uniform Distribution.mp4 21.8 MB
6. Working with Data Part 2/3. Concatenate.mp4 21.1 MB
8. Data Visualization/2. Histograms.mp4 20.3 MB
14. Appendix Python Special Offers/3. Python Overview Part 3.mp4 19.9 MB
6. Working with Data Part 2/4. Combining DataFrames.mp4 19.9 MB
11. Appendix Statistics Overview/6. Normal Distribution.mp4 19.4 MB
4. Intro to Pandas/10. Missing Data.mp4 18.9 MB
9. Example Projects/2. Intro to Data Projects.mp4 18.7 MB
8. Data Visualization/5. Box and Violin Plots.mp4 18.3 MB
4. Intro to Pandas/6. Selecting Entries.mp4 18.1 MB
6. Working with Data Part 2/6. Pivoting.mp4 18.0 MB
4. Intro to Pandas/7. Data Alignment.mp4 17.7 MB
11. Appendix Statistics Overview/8. T-Distribution.mp4 16.4 MB
6. Working with Data Part 2/12. Outliers.mp4 16.2 MB
11. Appendix Statistics Overview/10. Chi Square Test and Distribution.mp4 15.7 MB
3. Learning Numpy/6. Universal Array Function.mp4 14.9 MB
6. Working with Data Part 2/5. Reshaping.mp4 14.4 MB
3. Learning Numpy/8. Array Input and Output.mp4 14.0 MB
5. Working with Data Part 1/3. HTML with Python.mp4 13.5 MB
1. Intro to Course and Python/1. Course Intro.mp4 13.3 MB
3. Learning Numpy/2. Creating arrays.mp4 13.1 MB
6. Working with Data Part 2/11. Binning.mp4 13.0 MB
8. Data Visualization/4. Combining Plot Styles.mp4 11.6 MB
6. Working with Data Part 2/7. Duplicates in DataFrames.mp4 11.1 MB
6. Working with Data Part 2/10. Rename Index.mp4 10.1 MB
4. Intro to Pandas/8. Rank and Sort.mp4 9.5 MB
4. Intro to Pandas/5. Drop Entry.mp4 9.3 MB
4. Intro to Pandas/3. Index objects.mp4 9.2 MB
5. Working with Data Part 1/2. JSON with Python.mp4 9.0 MB
7. Working with Data Part 3/5. Cross Tabulation.mp4 8.8 MB
6. Working with Data Part 2/13. Permutation.mp4 8.7 MB
3. Learning Numpy/3. Using arrays and scalars.mp4 7.9 MB
6. Working with Data Part 2/8. Mapping.mp4 7.8 MB
5. Working with Data Part 1/4. Microsoft Excel files with Python.mp4 7.6 MB
3. Learning Numpy/5. Array Transposition.mp4 7.5 MB
8. Data Visualization/1. Installing Seaborn.mp4 7.3 MB
11. Appendix Statistics Overview/1. Intro to Appendix B.mp4 7.2 MB
9. Example Projects/6. Titanic Project - Part 4.mp4 5.3 MB
6. Working with Data Part 2/9. Replace.mp4 5.1 MB
10. Machine Learning/16. Decision Trees and Random Forests.srt 42.8 KB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.srt 36.6 KB
10. Machine Learning/13. Support Vector Machines - Part 2.srt 35.4 KB
8. Data Visualization/3. Kernel Density Estimate Plots.srt 33.9 KB
10. Machine Learning/5. Linear Regression Part 4.srt 32.5 KB
9. Example Projects/17. Data Project - Election Analysis Part 4.srt 30.5 KB
4. Intro to Pandas/9. Summary Statistics.srt 29.4 KB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.srt 29.1 KB
10. Machine Learning/19. Natural Language Processing Part 3.srt 28.6 KB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.srt 28.3 KB
9. Example Projects/15. Data Project - Election Analysis Part 2.srt 27.8 KB
10. Machine Learning/9. Logistic Regression Part 4.srt 27.6 KB
10. Machine Learning/4. Linear Regression Part 3.srt 25.6 KB
10. Machine Learning/3. Linear Regression Part 2.srt 25.6 KB
10. Machine Learning/2. Linear Regression Part 1.srt 25.6 KB
9. Example Projects/9. Data Project - Stock Market Analysis Part 2.srt 25.5 KB
8. Data Visualization/6. Regression Plots.srt 24.9 KB
14. Appendix Python Special Offers/1. Python Overview Part 1.srt 24.8 KB
3. Learning Numpy/7. Array Processing.srt 24.4 KB
9. Example Projects/14. Data Project - Election Analysis Part 1.srt 24.3 KB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.srt 23.9 KB
9. Example Projects/3. Titanic Project - Part 1.srt 23.8 KB
6. Working with Data Part 2/1. Merge.srt 23.1 KB
2. Setup/3. iPythonJupyter Notebook Overview.srt 22.7 KB
7. Working with Data Part 3/1. GroupBy on DataFrames.srt 22.2 KB
8. Data Visualization/7. Heatmaps and Clustered Matrices.srt 22.1 KB
4. Intro to Pandas/2. DataFrames.srt 21.9 KB
10. Machine Learning/18. Natural Language Processing Part 2.srt 21.6 KB
9. Example Projects/16. Data Project - Election Analysis Part 3.srt 21.4 KB
10. Machine Learning/20. Natural Language Processing Part 4.srt 21.0 KB
9. Example Projects/4. Titanic Project - Part 2.srt 20.5 KB
10. Machine Learning/6. Logistic Regression Part 1.srt 20.2 KB
10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.srt 19.7 KB
11. Appendix Statistics Overview/4. Binomial Distribution.srt 19.4 KB
10. Machine Learning/7. Logistic Regression Part 2.srt 19.3 KB
10. Machine Learning/12. Support Vector Machines Part 1.srt 19.1 KB
9. Example Projects/5. Titanic Project - Part 3.srt 18.9 KB
3. Learning Numpy/4. Indexing Arrays.srt 18.8 KB
4. Intro to Pandas/4. Reindex.srt 18.2 KB
7. Working with Data Part 3/3. Aggregation.srt 18.2 KB
13. Appendix Web Scraping with Python/1. Web Scraping Part 1.srt 17.8 KB
4. Intro to Pandas/11. Index Hierarchy.srt 17.5 KB
9. Example Projects/8. Data Project - Stock Market Analysis Part 1.srt 17.3 KB
11. Appendix Statistics Overview/5. Poisson Distribution.srt 17.1 KB
10. Machine Learning/15. Naive Bayes Part 2.srt 16.8 KB
4. Intro to Pandas/1. Series.srt 16.5 KB
12. Appendix SQL and Python/1. Introduction to SQL with Python.srt 16.4 KB
14. Appendix Python Special Offers/2. Python Overview Part 2.srt 16.2 KB
2. Setup/2. IDEs and Course Resources.srt 16.2 KB
13. Appendix Web Scraping with Python/2. Web Scraping Part 2.srt 16.1 KB
7. Working with Data Part 3/2. GroupBy on Dict and Series.srt 15.3 KB
12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt 15.1 KB
9. Example Projects/10. Data Project - Stock Market Analysis Part 3.srt 15.0 KB
10. Machine Learning/8. Logistic Regression Part 3.srt 14.9 KB
6. Working with Data Part 2/2. Merge on Index.srt 14.5 KB
4. Intro to Pandas/10. Missing Data.srt 14.4 KB
11. Appendix Statistics Overview/11. Bayes Theorem.srt 14.3 KB
14. Appendix Python Special Offers/3. Python Overview Part 3.srt 14.2 KB
10. Machine Learning/14. Naive Bayes Part 1.srt 13.8 KB
5. Working with Data Part 1/1. Reading and Writing Text Files.srt 13.1 KB
12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt 12.9 KB
6. Working with Data Part 2/4. Combining DataFrames.srt 12.8 KB
8. Data Visualization/2. Histograms.srt 12.6 KB
6. Working with Data Part 2/3. Concatenate.srt 12.6 KB
4. Intro to Pandas/7. Data Alignment.srt 12.2 KB
7. Working with Data Part 3/4. Splitting Applying and Combining.srt 12.1 KB
4. Intro to Pandas/6. Selecting Entries.srt 11.7 KB
8. Data Visualization/5. Box and Violin Plots.srt 11.0 KB
10. Machine Learning/17. Natural Language Processing Part 1.srt 10.9 KB
11. Appendix Statistics Overview/3. Continuous Uniform Distribution.srt 10.7 KB
2. Setup/1. Installation Setup and Overview.srt 10.3 KB
11. Appendix Statistics Overview/2. Discrete Uniform Distribution.srt 10.1 KB
9. Example Projects/11. Data Project - Stock Market Analysis Part 4.srt 9.6 KB
3. Learning Numpy/2. Creating arrays.srt 9.6 KB
3. Learning Numpy/8. Array Input and Output.srt 9.6 KB
11. Appendix Statistics Overview/6. Normal Distribution.srt 9.5 KB
6. Working with Data Part 2/5. Reshaping.srt 9.0 KB
6. Working with Data Part 2/6. Pivoting.srt 8.5 KB
8. Data Visualization/4. Combining Plot Styles.srt 8.4 KB
6. Working with Data Part 2/12. Outliers.srt 8.3 KB
6. Working with Data Part 2/11. Binning.srt 7.9 KB
11. Appendix Statistics Overview/8. T-Distribution.srt 7.8 KB
6. Working with Data Part 2/7. Duplicates in DataFrames.srt 7.8 KB
11. Appendix Statistics Overview/7. Sampling Techniques.srt 7.7 KB
3. Learning Numpy/6. Universal Array Function.srt 7.7 KB
4. Intro to Pandas/8. Rank and Sort.srt 7.4 KB
9. Example Projects/2. Intro to Data Projects.srt 7.3 KB
6. Working with Data Part 2/10. Rename Index.srt 7.3 KB
1. Intro to Course and Python/2. Course FAQs.html 6.9 KB
4. Intro to Pandas/5. Drop Entry.srt 6.8 KB
7. Working with Data Part 3/5. Cross Tabulation.srt 6.8 KB
6. Working with Data Part 2/13. Permutation.srt 6.6 KB
3. Learning Numpy/3. Using arrays and scalars.srt 6.5 KB
4. Intro to Pandas/3. Index objects.srt 5.8 KB
1. Intro to Course and Python/1. Course Intro.srt 5.8 KB
5. Working with Data Part 1/2. JSON with Python.srt 5.6 KB
5. Working with Data Part 1/3. HTML with Python.srt 5.6 KB
5. Working with Data Part 1/4. Microsoft Excel files with Python.srt 5.3 KB
9. Example Projects/1. Data Projects Preview.srt 5.2 KB
9. Example Projects/7. Intro to Data Project - Stock Market Analysis.srt 5.2 KB
6. Working with Data Part 2/8. Mapping.srt 5.2 KB
3. Learning Numpy/5. Array Transposition.srt 5.0 KB
11. Appendix Statistics Overview/1. Intro to Appendix B.srt 4.6 KB
6. Working with Data Part 2/9. Replace.srt 4.5 KB
11. Appendix Statistics Overview/10. Chi Square Test and Distribution.srt 4.3 KB
9. Example Projects/6. Titanic Project - Part 4.srt 3.6 KB
9. Example Projects/13. Data Project - Intro to Election Analysis.srt 3.6 KB
8. Data Visualization/1. Installing Seaborn.srt 2.7 KB
Read Me.txt 1.0 KB
3. Learning Numpy/1. Intro to numpy.html 917 bytes
15. BONUS SECTION THANK YOU!/1. Bonus Lecture.html 532 bytes
9. Example Projects/2.1 First Data Project.txt 306 bytes
9. Example Projects/3.1 First Data Project.txt 306 bytes
2. Setup/3.2 Lecture 4 Info.txt 180 bytes
2. Setup/1.1 Link for FAQ.html 149 bytes
2. Setup/1.2 Link to Code Notebooks for Course!.html 131 bytes
2. Setup/2.1 Link to Code Notebooks for Course!.html 131 bytes
2. Setup/3.1 Link to Code Notebooks for Course!.html 131 bytes
11. Appendix Statistics Overview/1.1 Viewer Link For Stats Notes.txt 121 bytes
[FreeAllCourse.Com].url 52 bytes

[FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization

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