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[DesireCourse Net] Udemy - Learning Python for Data Analysis and Visualization
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Torrent Files List
1. Intro to Course and Python (Size: 1.93 GB) (Files: 228)
1. Intro to Course and Python
1. Course Intro.mp4
1. Course Intro.srt
2. Course FAQs.html
10. Machine Learning
1. Introduction to Machine Learning with SciKit Learn.mp4
1. Introduction to Machine Learning with SciKit Learn.srt
10. Multi Class Classification Part 1 - Logistic Regression.mp4
10. Multi Class Classification Part 1 - Logistic Regression.srt
11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4
11. Multi Class Classification Part 2 - k Nearest Neighbor.srt
12. Support Vector Machines Part 1.mp4
12. Support Vector Machines Part 1.srt
13. Support Vector Machines - Part 2.mp4
13. Support Vector Machines - Part 2.srt
14. Naive Bayes Part 1.mp4
14. Naive Bayes Part 1.srt
15. Naive Bayes Part 2.mp4
15. Naive Bayes Part 2.srt
16. Decision Trees and Random Forests.mp4
16. Decision Trees and Random Forests.srt
17. Natural Language Processing Part 1.mp4
17. Natural Language Processing Part 1.srt
18. Natural Language Processing Part 2.mp4
18. Natural Language Processing Part 2.srt
19. Natural Language Processing Part 3.mp4
19. Natural Language Processing Part 3.srt
2. Linear Regression Part 1.mp4
2. Linear Regression Part 1.srt
20. Natural Language Processing Part 4.mp4
20. Natural Language Processing Part 4.srt
3. Linear Regression Part 2.mp4
3. Linear Regression Part 2.srt
4. Linear Regression Part 3.mp4
4. Linear Regression Part 3.srt
5. Linear Regression Part 4.mp4
5. Linear Regression Part 4.srt
6. Logistic Regression Part 1.mp4
6. Logistic Regression Part 1.srt
7. Logistic Regression Part 2.mp4
7. Logistic Regression Part 2.srt
8. Logistic Regression Part 3.mp4
8. Logistic Regression Part 3.srt
9. Logistic Regression Part 4.mp4
9. Logistic Regression Part 4.srt
11. Appendix Statistics Overview
1. Intro to Appendix B.mp4
1. Intro to Appendix B.srt
1.1 Viewer Link For Stats Notes.txt
10. Chi Square Test and Distribution.mp4
10. Chi Square Test and Distribution.srt
11. Bayes Theorem.mp4
11. Bayes Theorem.srt
2. Discrete Uniform Distribution.mp4
2. Discrete Uniform Distribution.srt
3. Continuous Uniform Distribution.mp4
3. Continuous Uniform Distribution.srt
4. Binomial Distribution.mp4
4. Binomial Distribution.srt
5. Poisson Distribution.mp4
5. Poisson Distribution.srt
6. Normal Distribution.mp4
6. Normal Distribution.srt
7. Sampling Techniques.mp4
7. Sampling Techniques.srt
8. T-Distribution.mp4
8. T-Distribution.srt
9. Hypothesis Testing and Confidence Intervals.mp4
9. Hypothesis Testing and Confidence Intervals.srt
12. Appendix SQL and Python
1. Introduction to SQL with Python.mp4
1. Introduction to SQL with Python.srt
2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4
2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt
3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4
3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt
13. Appendix Web Scraping with Python
1. Web Scraping Part 1.mp4
1. Web Scraping Part 1.srt
2. Web Scraping Part 2.mp4
2. Web Scraping Part 2.srt
14. Appendix Python Special Offers
1. Python Overview Part 1.mp4
1. Python Overview Part 1.srt
2. Python Overview Part 2.mp4
2. Python Overview Part 2.srt
3. Python Overview Part 3.mp4
3. Python Overview Part 3.srt
15. BONUS SECTION THANK YOU!
1. Bonus Lecture.html
2. Setup
1. Installation Setup and Overview.mp4
1. Installation Setup and Overview.srt
1.1 Link for FAQ.html
1.2 Link to Code Notebooks for Course!.html
2. IDEs and Course Resources.mp4
2. IDEs and Course Resources.srt
2.1 Link to Code Notebooks for Course!.html
3. iPythonJupyter Notebook Overview.mp4
3. iPythonJupyter Notebook Overview.srt
3.1 Lecture 4 Info.txt
3.2 Link to Code Notebooks for Course!.html
3. Learning Numpy
1. Intro to numpy.html
2. Creating arrays.mp4
2. Creating arrays.srt
3. Using arrays and scalars.mp4
3. Using arrays and scalars.srt
4. Indexing Arrays.mp4
4. Indexing Arrays.srt
5. Array Transposition.mp4
5. Array Transposition.srt
6. Universal Array Function.mp4
6. Universal Array Function.srt
7. Array Processing.mp4
7. Array Processing.srt
8. Array Input and Output.mp4
8. Array Input and Output.srt
4. Intro to Pandas
1. Series.mp4
1. Series.srt
10. Missing Data.mp4
10. Missing Data.srt
11. Index Hierarchy.mp4
11. Index Hierarchy.srt
2. DataFrames.mp4
2. DataFrames.srt
3. Index objects.mp4
3. Index objects.srt
4. Reindex.mp4
4. Reindex.srt
5. Drop Entry.mp4
5. Drop Entry.srt
6. Selecting Entries.mp4
6. Selecting Entries.srt
7. Data Alignment.mp4
7. Data Alignment.srt
8. Rank and Sort.mp4
8. Rank and Sort.srt
9. Summary Statistics.mp4
9. Summary Statistics.srt
5. Working with Data Part 1
1. Reading and Writing Text Files.mp4
1. Reading and Writing Text Files.srt
2. JSON with Python.mp4
2. JSON with Python.srt
3. HTML with Python.mp4
3. HTML with Python.srt
4. Microsoft Excel files with Python.mp4
4. Microsoft Excel files with Python.srt
6. Working with Data Part 2
1. Merge.mp4
1. Merge.srt
10. Rename Index.mp4
10. Rename Index.srt
11. Binning.mp4
11. Binning.srt
12. Outliers.mp4
12. Outliers.srt
13. Permutation.mp4
13. Permutation.srt
2. Merge on Index.mp4
2. Merge on Index.srt
3. Concatenate.mp4
3. Concatenate.srt
4. Combining DataFrames.mp4
4. Combining DataFrames.srt
5. Reshaping.mp4
5. Reshaping.srt
6. Pivoting.mp4
6. Pivoting.srt
7. Duplicates in DataFrames.mp4
7. Duplicates in DataFrames.srt
8. Mapping.mp4
8. Mapping.srt
9. Replace.mp4
9. Replace.srt
7. Working with Data Part 3
1. GroupBy on DataFrames.mp4
1. GroupBy on DataFrames.srt
2. GroupBy on Dict and Series.mp4
2. GroupBy on Dict and Series.srt
3. Aggregation.mp4
3. Aggregation.srt
4. Splitting Applying and Combining.mp4
4. Splitting Applying and Combining.srt
5. Cross Tabulation.mp4
5. Cross Tabulation.srt
8. Data Visualization
1. Installing Seaborn.mp4
1. Installing Seaborn.srt
2. Histograms.mp4
2. Histograms.srt
3. Kernel Density Estimate Plots.mp4
3. Kernel Density Estimate Plots.srt
4. Combining Plot Styles.mp4
4. Combining Plot Styles.srt
5. Box and Violin Plots.mp4
5. Box and Violin Plots.srt
6. Regression Plots.mp4
6. Regression Plots.srt
7. Heatmaps and Clustered Matrices.mp4
7. Heatmaps and Clustered Matrices.srt
9. Example Projects
1. Data Projects Preview.mp4
1. Data Projects Preview.srt
10. Data Project - Stock Market Analysis Part 3.mp4
10. Data Project - Stock Market Analysis Part 3.srt
11. Data Project - Stock Market Analysis Part 4.mp4
11. Data Project - Stock Market Analysis Part 4.srt
12. Data Project - Stock Market Analysis Part 5.mp4
12. Data Project - Stock Market Analysis Part 5.srt
13. Data Project - Intro to Election Analysis.mp4
13. Data Project - Intro to Election Analysis.srt
14. Data Project - Election Analysis Part 1.mp4
14. Data Project - Election Analysis Part 1.srt
15. Data Project - Election Analysis Part 2.mp4
15. Data Project - Election Analysis Part 2.srt
16. Data Project - Election Analysis Part 3.mp4
16. Data Project - Election Analysis Part 3.srt
17. Data Project - Election Analysis Part 4.mp4
17. Data Project - Election Analysis Part 4.srt
2. Intro to Data Projects.mp4
2. Intro to Data Projects.srt
2.1 First Data Project.txt
3. Titanic Project - Part 1.mp4
3. Titanic Project - Part 1.srt
3.1 First Data Project.txt
4. Titanic Project - Part 2.mp4
4. Titanic Project - Part 2.srt
5. Titanic Project - Part 3.mp4
5. Titanic Project - Part 3.srt
6. Titanic Project - Part 4.mp4
6. Titanic Project - Part 4.srt
7. Intro to Data Project - Stock Market Analysis.mp4
7. Intro to Data Project - Stock Market Analysis.srt
8. Data Project - Stock Market Analysis Part 1.mp4
8. Data Project - Stock Market Analysis Part 1.srt
9. Data Project - Stock Market Analysis Part 2.mp4
9. Data Project - Stock Market Analysis Part 2.srt
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