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

Creation Time	May 14, 2024, 10:38 a.m.
Last Access Time	Nov. 24, 2024, 6:59 p.m.
File Size	2.0 GB
Keywords	and Visualization for Data Python DesireCourse - Analysis Udemy Learning Com
Total Requests	54
Total Files	227
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

10. Machine Learning/16. Decision Trees and Random Forests.mp4 152.9 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 92.6 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 82.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 67.1 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 59.7 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 43.9 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 39.4 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 36.8 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 36.0 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 35.3 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 30.9 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 30.7 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 30.6 MB
2. Setup/2. IDEs and Course Resources.mp4 30.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 27.2 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 27.0 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 26.8 MB
9. Example Projects/1. Data Projects Preview.mp4 25.8 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 25.0 MB
9. Example Projects/15. Data Project - Election Analysis Part 2.mp4 24.9 MB
2. Setup/1. Installation Setup and Overview.mp4 24.4 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 24.2 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 23.5 MB
9. Example Projects/9. Data Project - Stock Market Analysis Part 2.mp4 23.4 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 23.2 MB
10. Machine Learning/3. Linear Regression Part 2.mp4 22.5 MB
10. Machine Learning/3. Linear Regression Part 2.vtt 22.5 MB
4. Intro to Pandas/9. Summary Statistics.mp4 21.9 MB
4. Intro to Pandas/2. DataFrames.mp4 21.8 MB
10. Machine Learning/7. Logistic Regression Part 2.mp4 20.8 MB
3. Learning Numpy/7. Array Processing.mp4 20.5 MB
9. Example Projects/14. Data Project - Election Analysis Part 1.mp4 19.4 MB
9. Example Projects/3. Titanic Project - Part 1.mp4 18.8 MB
7. Working with Data Part 3/3. Aggregation.mp4 18.6 MB
6. Working with Data Part 2/1. Merge.mp4 18.6 MB
8. Data Visualization/7. Heatmaps and Clustered Matrices.mp4 18.3 MB
10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.mp4 17.9 MB
9. Example Projects/4. Titanic Project - Part 2.mp4 17.5 MB
8. Data Visualization/6. Regression Plots.mp4 17.4 MB
14. Appendix Python Special Offers/1. Python Overview Part 1.mp4 17.4 MB
13. Appendix Web Scraping with Python/2. Web Scraping Part 2.mp4 17.4 MB
7. Working with Data Part 3/1. GroupBy on DataFrames.mp4 17.2 MB
9. Example Projects/16. Data Project - Election Analysis Part 3.mp4 17.1 MB
11. Appendix Statistics Overview/4. Binomial Distribution.mp4 17.0 MB
9. Example Projects/10. Data Project - Stock Market Analysis Part 3.mp4 16.6 MB
10. Machine Learning/8. Logistic Regression Part 3.mp4 16.5 MB
12. Appendix SQL and Python/1. Introduction to SQL with Python.mp4 16.4 MB
9. Example Projects/5. Titanic Project - Part 3.mp4 16.2 MB
11. Appendix Statistics Overview/5. Poisson Distribution.mp4 16.0 MB
4. Intro to Pandas/4. Reindex.mp4 15.8 MB
4. Intro to Pandas/4. Reindex.vtt 15.8 MB
9. Example Projects/13. Data Project - Intro to Election Analysis.mp4 14.9 MB
9. Example Projects/13. Data Project - Intro to Election Analysis.vtt 14.9 MB
13. Appendix Web Scraping with Python/1. Web Scraping Part 1.mp4 14.5 MB
11. Appendix Statistics Overview/11. Bayes Theorem.mp4 14.5 MB
10. Machine Learning/14. Naive Bayes Part 1.mp4 14.0 MB
9. Example Projects/8. Data Project - Stock Market Analysis Part 1.mp4 13.6 MB
12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4 13.5 MB
3. Learning Numpy/4. Indexing Arrays.mp4 13.3 MB
4. Intro to Pandas/1. Series.mp4 12.6 MB
6. Working with Data Part 2/2. Merge on Index.mp4 12.3 MB
4. Intro to Pandas/11. Index Hierarchy.mp4 12.2 MB
7. Working with Data Part 3/2. GroupBy on Dict and Series.mp4 11.8 MB
12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 11.7 MB
14. Appendix Python Special Offers/2. Python Overview Part 2.mp4 11.1 MB
10. Machine Learning/2. Linear Regression Part 1.vtt 10.9 MB
7. Working with Data Part 3/4. Splitting Applying and Combining.mp4 10.6 MB
5. Working with Data Part 1/1. Reading and Writing Text Files.mp4 10.4 MB
9. Example Projects/7. Intro to Data Project - Stock Market Analysis.mp4 10.4 MB
4. Intro to Pandas/10. Missing Data.mp4 9.9 MB
11. Appendix Statistics Overview/3. Continuous Uniform Distribution.mp4 9.9 MB
14. Appendix Python Special Offers/3. Python Overview Part 3.mp4 9.8 MB
9. Example Projects/11. Data Project - Stock Market Analysis Part 4.mp4 9.8 MB
6. Working with Data Part 2/3. Concatenate.mp4 9.8 MB
6. Working with Data Part 2/4. Combining DataFrames.mp4 9.6 MB
4. Intro to Pandas/6. Selecting Entries.mp4 9.6 MB
4. Intro to Pandas/7. Data Alignment.mp4 9.5 MB
8. Data Visualization/2. Histograms.mp4 9.4 MB
8. Data Visualization/5. Box and Violin Plots.mp4 8.7 MB
11. Appendix Statistics Overview/2. Discrete Uniform Distribution.mp4 8.7 MB
11. Appendix Statistics Overview/6. Normal Distribution.mp4 8.3 MB
11. Appendix Statistics Overview/7. Sampling Techniques.mp4 8.1 MB
6. Working with Data Part 2/12. Outliers.mp4 7.5 MB
6. Working with Data Part 2/6. Pivoting.mp4 7.1 MB
6. Working with Data Part 2/5. Reshaping.mp4 7.1 MB
3. Learning Numpy/8. Array Input and Output.mp4 7.1 MB
3. Learning Numpy/2. Creating arrays.mp4 6.7 MB
9. Example Projects/2. Intro to Data Projects.mp4 6.7 MB
11. Appendix Statistics Overview/8. T-Distribution.mp4 6.7 MB
3. Learning Numpy/6. Universal Array Function.mp4 6.4 MB
6. Working with Data Part 2/11. Binning.mp4 6.3 MB
1. Intro to Course and Python/1. Course Intro.mp4 5.9 MB
8. Data Visualization/4. Combining Plot Styles.mp4 5.7 MB
5. Working with Data Part 1/3. HTML with Python.mp4 5.7 MB
11. Appendix Statistics Overview/10. Chi Square Test and Distribution.mp4 5.6 MB
6. Working with Data Part 2/7. Duplicates in DataFrames.mp4 5.5 MB
6. Working with Data Part 2/10. Rename Index.mp4 5.2 MB
4. Intro to Pandas/5. Drop Entry.mp4 5.0 MB
4. Intro to Pandas/8. Rank and Sort.mp4 4.9 MB
4. Intro to Pandas/3. Index objects.mp4 4.6 MB
6. Working with Data Part 2/13. Permutation.mp4 4.6 MB
7. Working with Data Part 3/5. Cross Tabulation.mp4 4.5 MB
5. Working with Data Part 1/2. JSON with Python.mp4 4.3 MB
3. Learning Numpy/3. Using arrays and scalars.mp4 4.1 MB
6. Working with Data Part 2/8. Mapping.mp4 3.9 MB
3. Learning Numpy/5. Array Transposition.mp4 3.7 MB
5. Working with Data Part 1/4. Microsoft Excel files with Python.mp4 3.7 MB
11. Appendix Statistics Overview/1. Intro to Appendix B.mp4 3.0 MB
6. Working with Data Part 2/9. Replace.mp4 2.7 MB
9. Example Projects/6. Titanic Project - Part 4.mp4 2.5 MB
8. Data Visualization/1. Installing Seaborn.mp4 2.4 MB
10. Machine Learning/16. Decision Trees and Random Forests.vtt 37.5 KB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.vtt 33.2 KB
10. Machine Learning/13. Support Vector Machines - Part 2.vtt 31.1 KB
8. Data Visualization/3. Kernel Density Estimate Plots.vtt 30.7 KB
10. Machine Learning/5. Linear Regression Part 4.vtt 29.5 KB
9. Example Projects/17. Data Project - Election Analysis Part 4.vtt 26.7 KB
4. Intro to Pandas/9. Summary Statistics.vtt 26.6 KB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.vtt 25.5 KB
9. Example Projects/15. Data Project - Election Analysis Part 2.vtt 25.3 KB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.vtt 25.2 KB
10. Machine Learning/19. Natural Language Processing Part 3.vtt 25.0 KB
10. Machine Learning/9. Logistic Regression Part 4.vtt 24.5 KB
10. Machine Learning/4. Linear Regression Part 3.vtt 23.3 KB
9. Example Projects/9. Data Project - Stock Market Analysis Part 2.vtt 23.2 KB
8. Data Visualization/6. Regression Plots.vtt 22.5 KB
9. Example Projects/14. Data Project - Election Analysis Part 1.vtt 22.1 KB
3. Learning Numpy/7. Array Processing.vtt 21.9 KB
9. Example Projects/3. Titanic Project - Part 1.vtt 21.6 KB
6. Working with Data Part 2/1. Merge.vtt 20.9 KB
14. Appendix Python Special Offers/1. Python Overview Part 1.vtt 20.8 KB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.vtt 20.8 KB
7. Working with Data Part 3/1. GroupBy on DataFrames.vtt 20.0 KB
8. Data Visualization/7. Heatmaps and Clustered Matrices.vtt 19.9 KB
9. Example Projects/16. Data Project - Election Analysis Part 3.vtt 19.4 KB
2. Setup/3. iPythonJupyter Notebook Overview.vtt 19.4 KB
4. Intro to Pandas/2. DataFrames.vtt 18.9 KB
9. Example Projects/4. Titanic Project - Part 2.vtt 18.6 KB
10. Machine Learning/18. Natural Language Processing Part 2.vtt 18.6 KB
10. Machine Learning/20. Natural Language Processing Part 4.vtt 18.5 KB
10. Machine Learning/6. Logistic Regression Part 1.vtt 18.3 KB
10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.vtt 17.8 KB
11. Appendix Statistics Overview/4. Binomial Distribution.vtt 17.6 KB
9. Example Projects/5. Titanic Project - Part 3.vtt 17.2 KB
3. Learning Numpy/4. Indexing Arrays.vtt 17.0 KB
10. Machine Learning/7. Logistic Regression Part 2.vtt 16.8 KB
10. Machine Learning/12. Support Vector Machines Part 1.vtt 16.7 KB
7. Working with Data Part 3/3. Aggregation.vtt 16.5 KB
13. Appendix Web Scraping with Python/1. Web Scraping Part 1.vtt 16.3 KB
4. Intro to Pandas/11. Index Hierarchy.vtt 15.9 KB
9. Example Projects/8. Data Project - Stock Market Analysis Part 1.vtt 15.6 KB
11. Appendix Statistics Overview/5. Poisson Distribution.vtt 15.5 KB
4. Intro to Pandas/1. Series.vtt 15.0 KB
10. Machine Learning/15. Naive Bayes Part 2.vtt 15.0 KB
12. Appendix SQL and Python/1. Introduction to SQL with Python.vtt 14.9 KB
14. Appendix Python Special Offers/2. Python Overview Part 2.vtt 14.7 KB
13. Appendix Web Scraping with Python/2. Web Scraping Part 2.vtt 14.6 KB
7. Working with Data Part 3/2. GroupBy on Dict and Series.vtt 13.9 KB
12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.vtt 13.8 KB
2. Setup/2. IDEs and Course Resources.vtt 13.8 KB
9. Example Projects/10. Data Project - Stock Market Analysis Part 3.vtt 13.6 KB
6. Working with Data Part 2/2. Merge on Index.vtt 13.2 KB
10. Machine Learning/8. Logistic Regression Part 3.vtt 13.0 KB
4. Intro to Pandas/10. Missing Data.vtt 13.0 KB
14. Appendix Python Special Offers/3. Python Overview Part 3.vtt 12.9 KB
10. Machine Learning/14. Naive Bayes Part 1.vtt 12.8 KB
11. Appendix Statistics Overview/11. Bayes Theorem.vtt 12.7 KB
5. Working with Data Part 1/1. Reading and Writing Text Files.vtt 11.9 KB
12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.vtt 11.8 KB
6. Working with Data Part 2/4. Combining DataFrames.vtt 11.5 KB
8. Data Visualization/2. Histograms.vtt 11.5 KB
6. Working with Data Part 2/3. Concatenate.vtt 11.5 KB
4. Intro to Pandas/7. Data Alignment.vtt 11.0 KB
7. Working with Data Part 3/4. Splitting Applying and Combining.vtt 11.0 KB
4. Intro to Pandas/6. Selecting Entries.vtt 10.6 KB
8. Data Visualization/5. Box and Violin Plots.vtt 10.1 KB
11. Appendix Statistics Overview/3. Continuous Uniform Distribution.vtt 9.8 KB
10. Machine Learning/17. Natural Language Processing Part 1.vtt 9.7 KB
11. Appendix Statistics Overview/2. Discrete Uniform Distribution.vtt 9.2 KB
2. Setup/1. Installation Setup and Overview.vtt 8.9 KB
9. Example Projects/11. Data Project - Stock Market Analysis Part 4.vtt 8.8 KB
3. Learning Numpy/2. Creating arrays.vtt 8.8 KB
11. Appendix Statistics Overview/6. Normal Distribution.vtt 8.7 KB
3. Learning Numpy/8. Array Input and Output.vtt 8.7 KB
6. Working with Data Part 2/5. Reshaping.vtt 8.2 KB
6. Working with Data Part 2/6. Pivoting.vtt 7.8 KB
8. Data Visualization/4. Combining Plot Styles.vtt 7.6 KB
6. Working with Data Part 2/12. Outliers.vtt 7.6 KB
6. Working with Data Part 2/11. Binning.vtt 7.2 KB
11. Appendix Statistics Overview/8. T-Distribution.vtt 7.1 KB
6. Working with Data Part 2/7. Duplicates in DataFrames.vtt 7.1 KB
11. Appendix Statistics Overview/7. Sampling Techniques.vtt 7.1 KB
3. Learning Numpy/6. Universal Array Function.vtt 7.0 KB
1. Intro to Course and Python/2. Course FAQs.html 6.9 KB
4. Intro to Pandas/8. Rank and Sort.vtt 6.8 KB
9. Example Projects/2. Intro to Data Projects.vtt 6.8 KB
6. Working with Data Part 2/10. Rename Index.vtt 6.6 KB
4. Intro to Pandas/5. Drop Entry.vtt 6.2 KB
7. Working with Data Part 3/5. Cross Tabulation.vtt 6.2 KB
15. BONUS SPECIAL DISCOUNT COUPONS/1. Bonus Lecture Coupons.html 6.0 KB
3. Learning Numpy/3. Using arrays and scalars.vtt 5.9 KB
6. Working with Data Part 2/13. Permutation.vtt 5.7 KB
4. Intro to Pandas/3. Index objects.vtt 5.3 KB
1. Intro to Course and Python/1. Course Intro.vtt 5.2 KB
5. Working with Data Part 1/2. JSON with Python.vtt 5.2 KB
5. Working with Data Part 1/3. HTML with Python.vtt 5.1 KB
5. Working with Data Part 1/4. Microsoft Excel files with Python.vtt 4.9 KB
9. Example Projects/1. Data Projects Preview.vtt 4.8 KB
9. Example Projects/7. Intro to Data Project - Stock Market Analysis.vtt 4.8 KB
6. Working with Data Part 2/8. Mapping.vtt 4.7 KB
3. Learning Numpy/5. Array Transposition.vtt 4.5 KB
11. Appendix Statistics Overview/1. Intro to Appendix B.vtt 4.2 KB
6. Working with Data Part 2/9. Replace.vtt 4.1 KB
11. Appendix Statistics Overview/10. Chi Square Test and Distribution.vtt 3.9 KB
9. Example Projects/6. Titanic Project - Part 4.vtt 3.3 KB
8. Data Visualization/1. Installing Seaborn.vtt 2.5 KB
3. Learning Numpy/1. Intro to numpy.html 917 bytes
[DesireCourse.Com].txt 754 bytes
9. Example Projects/2.1 First Data Project.txt 302 bytes
9. Example Projects/3.1 First Data Project.txt 302 bytes
2. Setup/3.1 Lecture 4 Info.txt 176 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/3.2 Link to Code Notebooks for Course!.html 131 bytes
11. Appendix Statistics Overview/1.1 Viewer Link For Stats Notes.txt 119 bytes
[DesireCourse.Com].url 51 bytes

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

File List

Download Torrent

Related Resources

Copyright Infringement