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001 Course Intro.mp4
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MP4
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11.5 MB
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001 Creating arrays.mp4
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MP4
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13.1 MB
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001 Data Projects Preview.mp4
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MP4
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25.8 MB
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001 GroupBy on DataFrames.mp4
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MP4
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36.3 MB
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001 Installation Setup and Overview.mp4
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MP4
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62 MB
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001 Installing Seaborn.mp4
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MP4
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7.2 MB
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001 Intro to Appendix B.mp4
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MP4
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7.2 MB
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001 Intro to Resources for Learning Python.mp4
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MP4
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27 MB
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001 Introduction to Machine Learning with SciKit Learn.mp4
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MP4
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46.2 MB
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001 Introduction to SQL with Python.mp4
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MP4
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43.8 MB
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001 Merge.mp4
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MP4
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36.3 MB
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001 Reading and Writing Text Files.mp4
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MP4
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24.8 MB
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001 Series.mp4
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MP4
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24.7 MB
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001 Web Scraping Part 1.mp4
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MP4
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37.3 MB
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002 DataFrames.mp4
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MP4
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52.9 MB
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002 Discrete Uniform Distribution.mp4
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MP4
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21.8 MB
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002 GroupBy on Dict and Series.mp4
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MP4
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23.3 MB
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002 Histograms.mp4
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MP4
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20.3 MB
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002 Intro to Data Projects.mp4
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MP4
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18.7 MB
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002 JSON with Python.mp4
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MP4
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9 MB
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002 Linear Regression Part 1.mp4
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MP4
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58.7 MB
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002 Merge on Index.mp4
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MP4
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25.2 MB
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002 Python Overview Part 1.mp4
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MP4
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34.5 MB
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002 Resources for Learning Python.mp4
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MP4
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3.7 MB
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002 SQL - SELECT,DISTINCT,WHERE,AND OR.mp4
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MP4
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32.3 MB
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002 Using arrays and scalars.mp4
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MP4
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7.9 MB
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002 Web Scraping Part 2.mp4
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MP4
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43.8 MB
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002 iPython Notebook Overview.mp4
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MP4
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8.9 MB
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003 Aggregation.mp4
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MP4
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43.8 MB
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003 Concatenate.mp4
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MP4
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21.1 MB
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003 Continuous Uniform Distribution.mp4
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MP4
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25.2 MB
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003 Course Environment Overview.mp4
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MP4
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8.3 MB
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003 HTML with Python.mp4
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MP4
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13.5 MB
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003 Index objects.mp4
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MP4
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9.2 MB
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003 Indexing Arrays.mp4
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MP4
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26.2 MB
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003 Kernel Density Estimate Plots.mp4
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MP4
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61.9 MB
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003 Linear Regression Part 2.mp4
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MP4
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52.5 MB
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003 Python Overview Part 2.mp4
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MP4
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21.9 MB
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003 SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4
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MP4
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28.1 MB
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003 Titanic Project - Part 1.mp4
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MP4
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43.3 MB
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004 Array Transposition.mp4
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MP4
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7.5 MB
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004 Binomial Distribution.mp4
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MP4
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41.7 MB
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004 Combining DataFrames.mp4
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MP4
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19.9 MB
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004 Combining Plot Styles.mp4
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MP4
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11.6 MB
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004 Linear Regression Part 3.mp4
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MP4
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68.9 MB
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004 Microsoft Excel files with Python.mp4
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MP4
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7.6 MB
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004 Python Overview Part 3.mp4
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MP4
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19.9 MB
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004 Reindex.mp4
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MP4
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32.3 MB
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004 Splitting Applying and Combining.mp4
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MP4
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22.2 MB
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004 Titanic Project - Part 2.mp4
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MP4
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38.9 MB
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005 Box and Violin Plots.mp4
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MP4
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18.3 MB
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005 Cross Tabulation.mp4
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MP4
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8.8 MB
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005 Drop Entry.mp4
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MP4
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9.2 MB
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005 Linear Regression Part 4.mp4
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MP4
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78.6 MB
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005 Poisson Distribution.mp4
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MP4
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40.2 MB
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005 Reshaping.mp4
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MP4
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14.4 MB
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005 Titanic Project - Part 3.mp4
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MP4
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35.1 MB
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005 Universal Array Function.mp4
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MP4
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14.9 MB
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006 Array Processing.mp4
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MP4
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41 MB
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006 Logistic Regression Part 1.mp4
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MP4
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71.8 MB
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006 Normal Distribution.mp4
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MP4
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19.4 MB
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006 Pivoting.mp4
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MP4
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18 MB
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006 Regression Plots.mp4
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MP4
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34.8 MB
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006 Selecting Entries.mp4
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MP4
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18.1 MB
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006 Titanic Project - Part 4.mp4
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MP4
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5.3 MB
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007 Array Input and Output.mp4
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MP4
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14 MB
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007 Data Alignment.mp4
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MP4
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17.7 MB
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007 Duplicates in DataFrames.mp4
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MP4
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11.1 MB
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007 Heatmaps and Clustered Matrices.mp4
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MP4
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39.1 MB
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007 Intro to Data Project - Stock Market Analysis.mp4
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MP4
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32.8 MB
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007 Logistic Regression Part 2.mp4
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MP4
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51.8 MB
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007 Sampling Techniques.mp4
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MP4
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22 MB
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008 Data Project - Stock Market Analysis Part 1.mp4
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MP4
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32.4 MB
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008 Logistic Regression Part 3.mp4
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MP4
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39.7 MB
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008 Mapping.mp4
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MP4
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7.8 MB
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008 Rank and Sort.mp4
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MP4
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9.5 MB
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008 T-Distribution.mp4
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MP4
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16.4 MB
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009 Data Project - Stock Market Analysis Part 2.mp4
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MP4
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56.8 MB
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009 Hypothesis Testing and Confidence Intervals.mp4
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MP4
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78.9 MB
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009 Logistic Regression Part 4.mp4
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MP4
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97.9 MB
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009 Replace.mp4
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MP4
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5.1 MB
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009 Summary Statistics.mp4
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MP4
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46.1 MB
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010 Chi Square Test and Distribution.mp4
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MP4
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15.7 MB
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010 Data Project - Stock Market Analysis Part 3.mp4
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MP4
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40 MB
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010 Missing Data.mp4
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MP4
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18.9 MB
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010 Multi Class Classification Part 1 - Logistic Regression.mp4
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MP4
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67.9 MB
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010 Rename Index.mp4
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MP4
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10.1 MB
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011 Bayes Theorem.mp4
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MP4
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36.8 MB
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011 Binning.mp4
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MP4
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13 MB
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011 Data Project - Stock Market Analysis Part 4.mp4
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MP4
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25.9 MB
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011 Index Hierarchy.mp4
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MP4
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24 MB
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011 Multi Class Classification Part 2 - k Nearest Neighbor.mp4
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MP4
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73.5 MB
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012 Data Project - Stock Market Analysis Part 5.mp4
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MP4
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94 MB
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012 Outliers.mp4
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MP4
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16.2 MB
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012 Support Vector Machines Part 1.mp4
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MP4
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64.9 MB
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013 Data Project - Intro to Election Analysis.mp4
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MP4
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14.9 MB
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013 Permutation.mp4
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MP4
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8.7 MB
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013 Support Vector Machines - Part 2.mp4
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MP4
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85.8 MB
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014 Data Project - Election Analysis Part 1.mp4
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MP4
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44.6 MB
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014 Naive Bayes Part 1.mp4
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MP4
|
35.7 MB
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015 Data Project - Election Analysis Part 2.mp4
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MP4
|
56.4 MB
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015 Naive Bayes Part 2.mp4
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MP4
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65.5 MB
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016 Data Project - Election Analysis Part 3.mp4
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MP4
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39.1 MB
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017 Data Project - Election Analysis Part 4.mp4
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MP4
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65.7 MB
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![UDEMY Tutorials - Learning Python for Data Analysis and Visualization [GLODLS]](/static/img/no-torrent-image.png "UDEMY Tutorials - Learning Python for Data Analysis and Visualization [GLODLS]")
