UDEMY Tutorials - Learning Python for Data Analysis and Visualization [GLODLS]

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Section 1 Intro to Course and Python
  • 001 Course Intro.mp4 (11.5 MB)
  • 002 Resources for Learning Python.mp4 (3.7 MB)
Section 10 Machine Learning
  • 009 Logistic Regression Part 4.mp4 (97.9 MB)
  • 013 Support Vector Machines - Part 2.mp4 (85.8 MB)
  • 005 Linear Regression Part 4.mp4 (78.6 MB)
  • 011 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 (73.5 MB)
  • 006 Logistic Regression Part 1.mp4 (71.8 MB)
  • 004 Linear Regression Part 3.mp4 (68.9 MB)
  • 010 Multi Class Classification Part 1 - Logistic Regression.mp4 (67.9 MB)
  • 015 Naive Bayes Part 2.mp4 (65.5 MB)
  • 012 Support Vector Machines Part 1.mp4 (64.9 MB)
  • 002 Linear Regression Part 1.mp4 (58.7 MB)
  • 003 Linear Regression Part 2.mp4 (52.5 MB)
  • 007 Logistic Regression Part 2.mp4 (51.8 MB)
  • 001 Introduction to Machine Learning with SciKit Learn.mp4 (46.2 MB)
  • 008 Logistic Regression Part 3.mp4 (39.7 MB)
  • 014 Naive Bayes Part 1.mp4 (35.7 MB)
Section 11 Appendix A Python Overview
  • 002 Python Overview Part 1.mp4 (34.5 MB)
  • 001 Intro to Resources for Learning Python.mp4 (27.0 MB)
  • 003 Python Overview Part 2.mp4 (21.9 MB)
  • 004 Python Overview Part 3.mp4 (19.9 MB)
Section 12 Appendix B Statistics Overview
  • 009 Hypothesis Testing and Confidence Intervals.mp4 (78.9 MB)
  • 004 Binomial Distribution.mp4 (41.7 MB)
  • 005 Poisson Distribution.mp4 (40.2 MB)
  • 011 Bayes Theorem.mp4 (36.8 MB)
  • 003 Continuous Uniform Distribution.mp4 (25.2 MB)
  • 007 Sampling Techniques.mp4 (22.0 MB)
  • 002 Discrete Uniform Distribution.mp4 (21.8 MB)
  • 006 Normal Distribution.mp4 (19.4 MB)
  • 008 T-Distribution.mp4 (16.4 MB)
  • 010 Chi Square Test and Distribution.mp4 (15.7 MB)
  • 001 Intro to Appendix B.mp4 (7.2 MB)
Section 13 Appendix C SQL and Python
  • 001 Introduction to SQL with Python.mp4 (43.8 MB)
  • 002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4 (32.3 MB)
  • 003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 (28.1 MB)
Section 14 Appendix D Web Scraping with Python
  • 002 Web Scraping Part 2.mp4 (43.8 MB)
  • 001 Web Scraping Part 1.mp4 (37.3 MB)
Section 2 Setup
  • 001 Installation Setup and Overview.mp4 (62.0 MB)
  • 002 iPython Notebook Overview.mp4 (8.9 MB)
  • 003 Course Environment Overview.mp4 (8.3 MB)
Section 3 Learning Numpy
  • 006 Array Processing.mp4 (41.0 MB)
  • 003 Indexing Arrays.mp4 (26.2 MB)
  • 005 Universal Array Function.mp4 (14.9 MB)
  • 007 Array Input and Output.mp4 (14.0 MB)
  • 001 Creating arrays.mp4 (13.1 MB)
  • 002 Using arrays and scalars.mp4 (7.9 MB)
  • 004 Array Transposition.mp4 (7.5 MB)
Section 4 Intro to Pandas
  • 002 DataFrames.mp4 (52.9 MB)
  • 009 Summary Statistics.mp4 (46.1 MB)
  • 004 Reindex.mp4 (32.3 MB)
  • 001 Series.mp4 (24.7 MB)
  • 011 Index Hierarchy.mp4 (24.0 MB)
  • 010 Missing Data.mp4 (18.9 MB)
  • 006 Selecting Entries.mp4 (18.1 MB)
  • 007 Data Alignment.mp4 (17.7 MB)
  • 008 Rank and Sort.mp4 (9.5 MB)
  • 005 Drop Entry.mp4 (9.2 MB)
  • 003 Index objects.mp4 (9.2 MB)
Section 5 Working with Data Part 1
  • 001 Reading and Writing Text Files.mp4 (24.8 MB)
  • 003 HTML with Python.mp4 (13.5 MB)
  • 002 JSON with Python.mp4 (9.0 MB)
  • 004 Microsoft Excel files with Python.mp4 (7.6 MB)
Section 6 Working with Data Part 2
  • 001 Merge.mp4 (36.3 MB)
  • 002 Merge on Index.mp4 (25.2 MB)
  • 003 Concatenate.mp4 (21.1 MB)
  • 004 Combining DataFrames.mp4 (19.9 MB)
  • 006 Pivoting.mp4 (18.0 MB)
  • 012 Outliers.mp4 (16.2 MB)
  • 005 Reshaping.mp4 (14.4 MB)
  • 011 Binning.mp4 (13.0 MB)
  • 007 Duplicates in DataFrames.mp4 (11.1 MB)
  • 010 Rename Index.mp4 (10.1 MB)
  • 013 Permutation.mp4 (8.7 MB)
  • 008 Mapping.mp4 (7.8 MB)
  • 009 Replace.mp4 (5.1 MB)
Section 7 Working with Data Part 3
  • 003 Aggregation.mp4 (43.8 MB)
  • 001 GroupBy on DataFrames.mp4 (36.3 MB)
  • 002 GroupBy on Dict and Series.mp4 (23.3 MB)
  • 004 Splitting Applying and Combining.mp4 (22.2 MB)
  • 005 Cross Tabulation.mp4 (8.8 MB)
Section 8 Data Visualization
  • 003 Kernel Density Estimate Plots.mp4 (61.9 MB)
  • 007 Heatmaps and Clustered Matrices.mp4 (39.1 MB)
  • 006 Regression Plots.mp4 (34.8 MB)
  • 002 Histograms.mp4 (20.3 MB)
  • 005 Box and Violin Plots.mp4 (18.3 MB)
  • 004 Combining Plot Styles.mp4 (11.6 MB)
  • 001 Installing Seaborn.mp4 (7.2 MB)
Section 9 Example Projects
  • 012 Data Project - Stock Market Analysis Part 5.mp4 (94.0 MB)
  • 017 Data Project - Election Analysis Part 4.mp4 (65.7 MB)
  • 009 Data Project - Stock Market Analysis Part 2.mp4 (56.8 MB)
  • 015 Data Project - Election Analysis Part 2.mp4 (56.4 MB)
  • 014 Data Project - Election Analysis Part 1.mp4 (44.6 MB)
  • 003 Titanic Project - Part 1.mp4 (43.3 MB)
  • 010 Data Project - Stock Market Analysis Part 3.mp4 (40.0 MB)
  • 016 Data Project - Election Analysis Part 3.mp4 (39.1 MB)
  • 004 Titanic Project - Part 2.mp4 (38.9 MB)
  • 005 Titanic Project - Part 3.mp4 (35.1 MB)
  • 007 Intro to Data Project - Stock Market Analysis.mp4 (32.8 MB)
  • 008 Data Project - Stock Market Analysis Part 1.mp4 (32.4 MB)
  • 011 Data Project - Stock Market Analysis Part 4.mp4 (25.9 MB)
  • 001 Data Projects Preview.mp4 (25.8 MB)
  • 002 Intro to Data Projects.mp4 (18.7 MB)
  • 013 Data Project - Intro to Election Analysis.mp4 (14.9 MB)

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UDEMY Tutorials - Learning Python for Data Analysis and Visualization [GLODLS]

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