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[FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization
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[FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization
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收录时间:
2021-03-18
最近下载:
2024-10-11
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文件列表
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4
166.6 MB
10. Machine Learning/16. Decision Trees and Random Forests.mp4
160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4
156.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4
118.2 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4
102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4
98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4
90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4
82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4
82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4
77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4
75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4
72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4
72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4
71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4
68.7 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4
68.1 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4
65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4
64.9 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4
62.6 MB
10. Machine Learning/2. Linear Regression Part 1.mp4
61.5 MB
9. Example Projects/9. Data Project - Stock Market Analysis Part 2.mp4
59.6 MB
9. Example Projects/15. Data Project - Election Analysis Part 2.mp4
59.1 MB
4. Intro to Pandas/2. DataFrames.mp4
55.4 MB
10. Machine Learning/3. Linear Regression Part 2.mp4
55.1 MB
10. Machine Learning/7. Logistic Regression Part 2.mp4
54.3 MB
10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.mp4
48.4 MB
4. Intro to Pandas/9. Summary Statistics.mp4
48.3 MB
9. Example Projects/14. Data Project - Election Analysis Part 1.mp4
46.7 MB
13. Appendix Web Scraping with Python/2. Web Scraping Part 2.mp4
46.0 MB
7. Working with Data Part 3/3. Aggregation.mp4
45.9 MB
12. Appendix SQL and Python/1. Introduction to SQL with Python.mp4
45.9 MB
9. Example Projects/3. Titanic Project - Part 1.mp4
45.4 MB
11. Appendix Statistics Overview/4. Binomial Distribution.mp4
43.8 MB
3. Learning Numpy/7. Array Processing.mp4
43.0 MB
11. Appendix Statistics Overview/5. Poisson Distribution.mp4
42.2 MB
9. Example Projects/10. Data Project - Stock Market Analysis Part 3.mp4
42.0 MB
10. Machine Learning/8. Logistic Regression Part 3.mp4
41.6 MB
9. Example Projects/16. Data Project - Election Analysis Part 3.mp4
41.0 MB
8. Data Visualization/7. Heatmaps and Clustered Matrices.mp4
40.9 MB
9. Example Projects/4. Titanic Project - Part 2.mp4
40.8 MB
13. Appendix Web Scraping with Python/1. Web Scraping Part 1.mp4
39.1 MB
9. Example Projects/1. Data Projects Preview.mp4
38.9 MB
11. Appendix Statistics Overview/11. Bayes Theorem.mp4
38.5 MB
6. Working with Data Part 2/1. Merge.mp4
38.1 MB
7. Working with Data Part 3/1. GroupBy on DataFrames.mp4
38.1 MB
10. Machine Learning/14. Naive Bayes Part 1.mp4
37.4 MB
9. Example Projects/5. Titanic Project - Part 3.mp4
36.8 MB
8. Data Visualization/6. Regression Plots.mp4
36.5 MB
14. Appendix Python Special Offers/1. Python Overview Part 1.mp4
36.1 MB
9. Example Projects/7. Intro to Data Project - Stock Market Analysis.mp4
34.4 MB
9. Example Projects/8. Data Project - Stock Market Analysis Part 1.mp4
34.0 MB
12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4
33.9 MB
4. Intro to Pandas/4. Reindex.mp4
33.8 MB
2. Setup/2. IDEs and Course Resources.mp4
31.8 MB
12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4
29.5 MB
3. Learning Numpy/4. Indexing Arrays.mp4
27.4 MB
9. Example Projects/11. Data Project - Stock Market Analysis Part 4.mp4
27.1 MB
6. Working with Data Part 2/2. Merge on Index.mp4
26.4 MB
11. Appendix Statistics Overview/3. Continuous Uniform Distribution.mp4
26.4 MB
5. Working with Data Part 1/1. Reading and Writing Text Files.mp4
26.0 MB
4. Intro to Pandas/1. Series.mp4
25.9 MB
2. Setup/1. Installation Setup and Overview.mp4
25.5 MB
9. Example Projects/13. Data Project - Intro to Election Analysis.mp4
25.4 MB
4. Intro to Pandas/11. Index Hierarchy.mp4
25.2 MB
7. Working with Data Part 3/2. GroupBy on Dict and Series.mp4
24.4 MB
7. Working with Data Part 3/4. Splitting Applying and Combining.mp4
23.2 MB
11. Appendix Statistics Overview/7. Sampling Techniques.mp4
23.1 MB
14. Appendix Python Special Offers/2. Python Overview Part 2.mp4
23.0 MB
11. Appendix Statistics Overview/2. Discrete Uniform Distribution.mp4
22.9 MB
6. Working with Data Part 2/3. Concatenate.mp4
22.2 MB
8. Data Visualization/2. Histograms.mp4
21.2 MB
14. Appendix Python Special Offers/3. Python Overview Part 3.mp4
20.9 MB
6. Working with Data Part 2/4. Combining DataFrames.mp4
20.8 MB
11. Appendix Statistics Overview/6. Normal Distribution.mp4
20.4 MB
4. Intro to Pandas/10. Missing Data.mp4
19.8 MB
9. Example Projects/2. Intro to Data Projects.mp4
19.6 MB
8. Data Visualization/5. Box and Violin Plots.mp4
19.2 MB
4. Intro to Pandas/6. Selecting Entries.mp4
19.0 MB
6. Working with Data Part 2/6. Pivoting.mp4
18.8 MB
4. Intro to Pandas/7. Data Alignment.mp4
18.6 MB
11. Appendix Statistics Overview/8. T-Distribution.mp4
17.1 MB
6. Working with Data Part 2/12. Outliers.mp4
17.0 MB
11. Appendix Statistics Overview/10. Chi Square Test and Distribution.mp4
16.5 MB
3. Learning Numpy/6. Universal Array Function.mp4
15.7 MB
6. Working with Data Part 2/5. Reshaping.mp4
15.1 MB
3. Learning Numpy/8. Array Input and Output.mp4
14.7 MB
5. Working with Data Part 1/3. HTML with Python.mp4
14.1 MB
1. Intro to Course and Python/1. Course Intro.mp4
13.9 MB
3. Learning Numpy/2. Creating arrays.mp4
13.7 MB
6. Working with Data Part 2/11. Binning.mp4
13.7 MB
8. Data Visualization/4. Combining Plot Styles.mp4
12.2 MB
6. Working with Data Part 2/7. Duplicates in DataFrames.mp4
11.6 MB
6. Working with Data Part 2/10. Rename Index.mp4
10.6 MB
4. Intro to Pandas/8. Rank and Sort.mp4
9.9 MB
4. Intro to Pandas/5. Drop Entry.mp4
9.7 MB
4. Intro to Pandas/3. Index objects.mp4
9.7 MB
5. Working with Data Part 1/2. JSON with Python.mp4
9.4 MB
7. Working with Data Part 3/5. Cross Tabulation.mp4
9.3 MB
6. Working with Data Part 2/13. Permutation.mp4
9.2 MB
3. Learning Numpy/3. Using arrays and scalars.mp4
8.3 MB
6. Working with Data Part 2/8. Mapping.mp4
8.2 MB
5. Working with Data Part 1/4. Microsoft Excel files with Python.mp4
8.0 MB
3. Learning Numpy/5. Array Transposition.mp4
7.9 MB
8. Data Visualization/1. Installing Seaborn.mp4
7.6 MB
11. Appendix Statistics Overview/1. Intro to Appendix B.mp4
7.6 MB
9. Example Projects/6. Titanic Project - Part 4.mp4
5.6 MB
6. Working with Data Part 2/9. Replace.mp4
5.4 MB
10. Machine Learning/16. Decision Trees and Random Forests.srt
43.8 kB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.srt
37.5 kB
10. Machine Learning/13. Support Vector Machines - Part 2.srt
36.2 kB
8. Data Visualization/3. Kernel Density Estimate Plots.srt
34.7 kB
10. Machine Learning/5. Linear Regression Part 4.srt
33.2 kB
9. Example Projects/17. Data Project - Election Analysis Part 4.srt
31.2 kB
4. Intro to Pandas/9. Summary Statistics.srt
30.1 kB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.srt
29.8 kB
10. Machine Learning/19. Natural Language Processing Part 3.srt
29.3 kB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.srt
29.0 kB
9. Example Projects/15. Data Project - Election Analysis Part 2.srt
28.5 kB
10. Machine Learning/9. Logistic Regression Part 4.srt
28.3 kB
10. Machine Learning/4. Linear Regression Part 3.srt
26.3 kB
10. Machine Learning/3. Linear Regression Part 2.srt
26.2 kB
10. Machine Learning/2. Linear Regression Part 1.srt
26.2 kB
9. Example Projects/9. Data Project - Stock Market Analysis Part 2.srt
26.1 kB
8. Data Visualization/6. Regression Plots.srt
25.5 kB
14. Appendix Python Special Offers/1. Python Overview Part 1.srt
25.4 kB
3. Learning Numpy/7. Array Processing.srt
24.9 kB
9. Example Projects/14. Data Project - Election Analysis Part 1.srt
24.9 kB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.srt
24.5 kB
9. Example Projects/3. Titanic Project - Part 1.srt
24.4 kB
6. Working with Data Part 2/1. Merge.srt
23.6 kB
2. Setup/3. iPythonJupyter Notebook Overview.srt
23.2 kB
7. Working with Data Part 3/1. GroupBy on DataFrames.srt
22.7 kB
8. Data Visualization/7. Heatmaps and Clustered Matrices.srt
22.6 kB
4. Intro to Pandas/2. DataFrames.srt
22.5 kB
10. Machine Learning/18. Natural Language Processing Part 2.srt
22.1 kB
9. Example Projects/16. Data Project - Election Analysis Part 3.srt
21.9 kB
10. Machine Learning/20. Natural Language Processing Part 4.srt
21.5 kB
9. Example Projects/4. Titanic Project - Part 2.srt
21.0 kB
10. Machine Learning/6. Logistic Regression Part 1.srt
20.7 kB
10. Machine Learning/1. Introduction to Machine Learning with SciKit Learn.srt
20.2 kB
11. Appendix Statistics Overview/4. Binomial Distribution.srt
19.8 kB
10. Machine Learning/7. Logistic Regression Part 2.srt
19.8 kB
10. Machine Learning/12. Support Vector Machines Part 1.srt
19.5 kB
9. Example Projects/5. Titanic Project - Part 3.srt
19.3 kB
3. Learning Numpy/4. Indexing Arrays.srt
19.2 kB
4. Intro to Pandas/4. Reindex.srt
18.7 kB
7. Working with Data Part 3/3. Aggregation.srt
18.6 kB
13. Appendix Web Scraping with Python/1. Web Scraping Part 1.srt
18.2 kB
4. Intro to Pandas/11. Index Hierarchy.srt
17.9 kB
9. Example Projects/8. Data Project - Stock Market Analysis Part 1.srt
17.7 kB
11. Appendix Statistics Overview/5. Poisson Distribution.srt
17.5 kB
10. Machine Learning/15. Naive Bayes Part 2.srt
17.2 kB
4. Intro to Pandas/1. Series.srt
16.9 kB
12. Appendix SQL and Python/1. Introduction to SQL with Python.srt
16.8 kB
14. Appendix Python Special Offers/2. Python Overview Part 2.srt
16.6 kB
2. Setup/2. IDEs and Course Resources.srt
16.6 kB
13. Appendix Web Scraping with Python/2. Web Scraping Part 2.srt
16.5 kB
7. Working with Data Part 3/2. GroupBy on Dict and Series.srt
15.7 kB
12. Appendix SQL and Python/2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt
15.4 kB
9. Example Projects/10. Data Project - Stock Market Analysis Part 3.srt
15.3 kB
10. Machine Learning/8. Logistic Regression Part 3.srt
15.2 kB
6. Working with Data Part 2/2. Merge on Index.srt
14.9 kB
4. Intro to Pandas/10. Missing Data.srt
14.7 kB
11. Appendix Statistics Overview/11. Bayes Theorem.srt
14.7 kB
14. Appendix Python Special Offers/3. Python Overview Part 3.srt
14.5 kB
10. Machine Learning/14. Naive Bayes Part 1.srt
14.1 kB
5. Working with Data Part 1/1. Reading and Writing Text Files.srt
13.4 kB
12. Appendix SQL and Python/3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt
13.2 kB
6. Working with Data Part 2/4. Combining DataFrames.srt
13.1 kB
8. Data Visualization/2. Histograms.srt
12.9 kB
6. Working with Data Part 2/3. Concatenate.srt
12.9 kB
4. Intro to Pandas/7. Data Alignment.srt
12.5 kB
7. Working with Data Part 3/4. Splitting Applying and Combining.srt
12.4 kB
4. Intro to Pandas/6. Selecting Entries.srt
12.0 kB
8. Data Visualization/5. Box and Violin Plots.srt
11.3 kB
10. Machine Learning/17. Natural Language Processing Part 1.srt
11.2 kB
11. Appendix Statistics Overview/3. Continuous Uniform Distribution.srt
11.0 kB
2. Setup/1. Installation Setup and Overview.srt
10.5 kB
11. Appendix Statistics Overview/2. Discrete Uniform Distribution.srt
10.4 kB
9. Example Projects/11. Data Project - Stock Market Analysis Part 4.srt
9.9 kB
3. Learning Numpy/2. Creating arrays.srt
9.8 kB
3. Learning Numpy/8. Array Input and Output.srt
9.8 kB
11. Appendix Statistics Overview/6. Normal Distribution.srt
9.7 kB
6. Working with Data Part 2/5. Reshaping.srt
9.2 kB
6. Working with Data Part 2/6. Pivoting.srt
8.7 kB
8. Data Visualization/4. Combining Plot Styles.srt
8.6 kB
6. Working with Data Part 2/12. Outliers.srt
8.5 kB
6. Working with Data Part 2/11. Binning.srt
8.1 kB
11. Appendix Statistics Overview/8. T-Distribution.srt
8.0 kB
6. Working with Data Part 2/7. Duplicates in DataFrames.srt
7.9 kB
11. Appendix Statistics Overview/7. Sampling Techniques.srt
7.9 kB
3. Learning Numpy/6. Universal Array Function.srt
7.9 kB
4. Intro to Pandas/8. Rank and Sort.srt
7.6 kB
9. Example Projects/2. Intro to Data Projects.srt
7.5 kB
6. Working with Data Part 2/10. Rename Index.srt
7.5 kB
1. Intro to Course and Python/2. Course FAQs.html
7.1 kB
4. Intro to Pandas/5. Drop Entry.srt
6.9 kB
7. Working with Data Part 3/5. Cross Tabulation.srt
6.9 kB
6. Working with Data Part 2/13. Permutation.srt
6.8 kB
3. Learning Numpy/3. Using arrays and scalars.srt
6.7 kB
4. Intro to Pandas/3. Index objects.srt
5.9 kB
1. Intro to Course and Python/1. Course Intro.srt
5.9 kB
5. Working with Data Part 1/2. JSON with Python.srt
5.8 kB
5. Working with Data Part 1/3. HTML with Python.srt
5.7 kB
5. Working with Data Part 1/4. Microsoft Excel files with Python.srt
5.4 kB
9. Example Projects/1. Data Projects Preview.srt
5.4 kB
9. Example Projects/7. Intro to Data Project - Stock Market Analysis.srt
5.3 kB
6. Working with Data Part 2/8. Mapping.srt
5.3 kB
3. Learning Numpy/5. Array Transposition.srt
5.1 kB
11. Appendix Statistics Overview/1. Intro to Appendix B.srt
4.7 kB
6. Working with Data Part 2/9. Replace.srt
4.6 kB
11. Appendix Statistics Overview/10. Chi Square Test and Distribution.srt
4.4 kB
9. Example Projects/6. Titanic Project - Part 4.srt
3.7 kB
9. Example Projects/13. Data Project - Intro to Election Analysis.srt
3.7 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
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52 Bytes
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