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

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UDEMY Tutorials - Learning Python for Data Analysis and Visualization [GLODLS] (Size: 3.2 GB)
  001 Course Intro.mp4 11.5 MB
  001 Creating arrays.mp4 13.1 MB
  001 Data Projects Preview.mp4 25.8 MB
  001 GroupBy on DataFrames.mp4 36.3 MB
  001 Installation Setup and Overview.mp4 62 MB
  001 Installing Seaborn.mp4 7.2 MB
  001 Intro to Appendix B.mp4 7.2 MB
  001 Intro to Resources for Learning Python.mp4 27 MB
  001 Introduction to Machine Learning with SciKit Learn.mp4 46.2 MB
  001 Introduction to SQL with Python.mp4 43.8 MB
  001 Merge.mp4 36.3 MB
  001 Reading and Writing Text Files.mp4 24.8 MB
  001 Series.mp4 24.7 MB
  001 Web Scraping Part 1.mp4 37.3 MB
  002 DataFrames.mp4 52.9 MB
  002 Discrete Uniform Distribution.mp4 21.8 MB
  002 GroupBy on Dict and Series.mp4 23.3 MB
  002 Histograms.mp4 20.3 MB
  002 Intro to Data Projects.mp4 18.7 MB
  002 JSON with Python.mp4 9 MB
  002 Linear Regression Part 1.mp4 58.7 MB
  002 Merge on Index.mp4 25.2 MB
  002 Python Overview Part 1.mp4 34.5 MB
  002 Resources for Learning Python.mp4 3.7 MB
  002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4 32.3 MB
  002 Using arrays and scalars.mp4 7.9 MB
  002 Web Scraping Part 2.mp4 43.8 MB
  002 iPython Notebook Overview.mp4 8.9 MB
  003 Aggregation.mp4 43.8 MB
  003 Concatenate.mp4 21.1 MB
  003 Continuous Uniform Distribution.mp4 25.2 MB
  003 Course Environment Overview.mp4 8.3 MB
  003 HTML with Python.mp4 13.5 MB
  003 Index objects.mp4 9.2 MB
  003 Indexing Arrays.mp4 26.2 MB
  003 Kernel Density Estimate Plots.mp4 61.9 MB
  003 Linear Regression Part 2.mp4 52.5 MB
  003 Python Overview Part 2.mp4 21.9 MB
  003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4 28.1 MB
  003 Titanic Project - Part 1.mp4 43.3 MB
  004 Array Transposition.mp4 7.5 MB
  004 Binomial Distribution.mp4 41.7 MB
  004 Combining DataFrames.mp4 19.9 MB
  004 Combining Plot Styles.mp4 11.6 MB
  004 Linear Regression Part 3.mp4 68.9 MB
  004 Microsoft Excel files with Python.mp4 7.6 MB
  004 Python Overview Part 3.mp4 19.9 MB
  004 Reindex.mp4 32.3 MB
  004 Splitting Applying and Combining.mp4 22.2 MB
  004 Titanic Project - Part 2.mp4 38.9 MB
  005 Box and Violin Plots.mp4 18.3 MB
  005 Cross Tabulation.mp4 8.8 MB
  005 Drop Entry.mp4 9.2 MB
  005 Linear Regression Part 4.mp4 78.6 MB
  005 Poisson Distribution.mp4 40.2 MB
  005 Reshaping.mp4 14.4 MB
  005 Titanic Project - Part 3.mp4 35.1 MB
  005 Universal Array Function.mp4 14.9 MB
  006 Array Processing.mp4 41 MB
  006 Logistic Regression Part 1.mp4 71.8 MB
  006 Normal Distribution.mp4 19.4 MB
  006 Pivoting.mp4 18 MB
  006 Regression Plots.mp4 34.8 MB
  006 Selecting Entries.mp4 18.1 MB
  006 Titanic Project - Part 4.mp4 5.3 MB
  007 Array Input and Output.mp4 14 MB
  007 Data Alignment.mp4 17.7 MB
  007 Duplicates in DataFrames.mp4 11.1 MB
  007 Heatmaps and Clustered Matrices.mp4 39.1 MB
  007 Intro to Data Project - Stock Market Analysis.mp4 32.8 MB
  007 Logistic Regression Part 2.mp4 51.8 MB
  007 Sampling Techniques.mp4 22 MB
  008 Data Project - Stock Market Analysis Part 1.mp4 32.4 MB
  008 Logistic Regression Part 3.mp4 39.7 MB
  008 Mapping.mp4 7.8 MB
  008 Rank and Sort.mp4 9.5 MB
  008 T-Distribution.mp4 16.4 MB
  009 Data Project - Stock Market Analysis Part 2.mp4 56.8 MB
  009 Hypothesis Testing and Confidence Intervals.mp4 78.9 MB
  009 Logistic Regression Part 4.mp4 97.9 MB
  009 Replace.mp4 5.1 MB
  009 Summary Statistics.mp4 46.1 MB
  010 Chi Square Test and Distribution.mp4 15.7 MB
  010 Data Project - Stock Market Analysis Part 3.mp4 40 MB
  010 Missing Data.mp4 18.9 MB
  010 Multi Class Classification Part 1 - Logistic Regression.mp4 67.9 MB
  010 Rename Index.mp4 10.1 MB
  011 Bayes Theorem.mp4 36.8 MB
  011 Binning.mp4 13 MB
  011 Data Project - Stock Market Analysis Part 4.mp4 25.9 MB
  011 Index Hierarchy.mp4 24 MB
  011 Multi Class Classification Part 2 - k Nearest Neighbor.mp4 73.5 MB
  012 Data Project - Stock Market Analysis Part 5.mp4 94 MB
  012 Outliers.mp4 16.2 MB
  012 Support Vector Machines Part 1.mp4 64.9 MB
  013 Data Project - Intro to Election Analysis.mp4 14.9 MB
  013 Permutation.mp4 8.7 MB
  013 Support Vector Machines - Part 2.mp4 85.8 MB
  014 Data Project - Election Analysis Part 1.mp4 44.6 MB
  014 Naive Bayes Part 1.mp4 35.7 MB
  015 Data Project - Election Analysis Part 2.mp4 56.4 MB
  015 Naive Bayes Part 2.mp4 65.5 MB
  016 Data Project - Election Analysis Part 3.mp4 39.1 MB
  017 Data Project - Election Analysis Part 4.mp4 65.7 MB
  Downloaded from www.GloDLS.to.png 2.5 KB
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  ▲ 106 total files

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