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[GLODLS] UDEMY Tutorials - Learning Python for Data Analysis and Visualization
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Section 1 Intro to Course and Python (Size: 3.24 GB) (Files: 106)
Section 1 Intro to Course and Python
001 Course Intro.mp4
002 Resources for Learning Python.mp4
Section 10 Machine Learning
009 Logistic Regression Part 4.mp4
013 Support Vector Machines - Part 2.mp4
005 Linear Regression Part 4.mp4
011 Multi Class Classification Part 2 - k Nearest Neighbor.mp4
006 Logistic Regression Part 1.mp4
004 Linear Regression Part 3.mp4
010 Multi Class Classification Part 1 - Logistic Regression.mp4
015 Naive Bayes Part 2.mp4
012 Support Vector Machines Part 1.mp4
002 Linear Regression Part 1.mp4
003 Linear Regression Part 2.mp4
007 Logistic Regression Part 2.mp4
001 Introduction to Machine Learning with SciKit Learn.mp4
008 Logistic Regression Part 3.mp4
014 Naive Bayes Part 1.mp4
Section 11 Appendix A Python Overview
002 Python Overview Part 1.mp4
001 Intro to Resources for Learning Python.mp4
003 Python Overview Part 2.mp4
004 Python Overview Part 3.mp4
Section 12 Appendix B Statistics Overview
009 Hypothesis Testing and Confidence Intervals.mp4
004 Binomial Distribution.mp4
005 Poisson Distribution.mp4
011 Bayes Theorem.mp4
003 Continuous Uniform Distribution.mp4
007 Sampling Techniques.mp4
002 Discrete Uniform Distribution.mp4
006 Normal Distribution.mp4
008 T-Distribution.mp4
010 Chi Square Test and Distribution.mp4
001 Intro to Appendix B.mp4
Section 13 Appendix C SQL and Python
001 Introduction to SQL with Python.mp4
002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4
003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4
Section 14 Appendix D Web Scraping with Python
002 Web Scraping Part 2.mp4
001 Web Scraping Part 1.mp4
Section 2 Setup
001 Installation Setup and Overview.mp4
002 iPython Notebook Overview.mp4
003 Course Environment Overview.mp4
Section 3 Learning Numpy
006 Array Processing.mp4
003 Indexing Arrays.mp4
005 Universal Array Function.mp4
007 Array Input and Output.mp4
001 Creating arrays.mp4
002 Using arrays and scalars.mp4
004 Array Transposition.mp4
Section 4 Intro to Pandas
002 DataFrames.mp4
009 Summary Statistics.mp4
004 Reindex.mp4
001 Series.mp4
011 Index Hierarchy.mp4
010 Missing Data.mp4
006 Selecting Entries.mp4
007 Data Alignment.mp4
008 Rank and Sort.mp4
005 Drop Entry.mp4
003 Index objects.mp4
Section 5 Working with Data Part 1
001 Reading and Writing Text Files.mp4
003 HTML with Python.mp4
002 JSON with Python.mp4
004 Microsoft Excel files with Python.mp4
Section 6 Working with Data Part 2
001 Merge.mp4
002 Merge on Index.mp4
003 Concatenate.mp4
004 Combining DataFrames.mp4
006 Pivoting.mp4
012 Outliers.mp4
005 Reshaping.mp4
011 Binning.mp4
007 Duplicates in DataFrames.mp4
010 Rename Index.mp4
013 Permutation.mp4
008 Mapping.mp4
009 Replace.mp4
Section 7 Working with Data Part 3
003 Aggregation.mp4
001 GroupBy on DataFrames.mp4
002 GroupBy on Dict and Series.mp4
004 Splitting Applying and Combining.mp4
005 Cross Tabulation.mp4
Section 8 Data Visualization
003 Kernel Density Estimate Plots.mp4
007 Heatmaps and Clustered Matrices.mp4
006 Regression Plots.mp4
002 Histograms.mp4
005 Box and Violin Plots.mp4
004 Combining Plot Styles.mp4
001 Installing Seaborn.mp4
Section 9 Example Projects
012 Data Project - Stock Market Analysis Part 5.mp4
017 Data Project - Election Analysis Part 4.mp4
009 Data Project - Stock Market Analysis Part 2.mp4
015 Data Project - Election Analysis Part 2.mp4
014 Data Project - Election Analysis Part 1.mp4
003 Titanic Project - Part 1.mp4
010 Data Project - Stock Market Analysis Part 3.mp4
016 Data Project - Election Analysis Part 3.mp4
004 Titanic Project - Part 2.mp4
005 Titanic Project - Part 3.mp4
007 Intro to Data Project - Stock Market Analysis.mp4
008 Data Project - Stock Market Analysis Part 1.mp4
011 Data Project - Stock Market Analysis Part 4.mp4
001 Data Projects Preview.mp4
002 Intro to Data Projects.mp4
013 Data Project - Intro to Election Analysis.mp4
006 Titanic Project - Part 4.mp4
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UDEMY Tutorials - Learning Python for Data Analysis and Visualization [GLODLS]
