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1. Bonus Lecture.html
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HTML
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512 B
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1. Course Intro.mp4
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MP4
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5.9 MB
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1. Course Intro.srt
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5.8 KB
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1. Data Projects Preview.mp4
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MP4
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25.8 MB
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1. Data Projects Preview.srt
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5.2 KB
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1. GroupBy on DataFrames.mp4
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MP4
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17.2 MB
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1. GroupBy on DataFrames.srt
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SRT
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22.2 KB
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1. Installation Setup and Overview.mp4
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MP4
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24.4 MB
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1. Installation Setup and Overview.srt
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SRT
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10.3 KB
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1. Installing Seaborn.mp4
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MP4
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2.4 MB
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1. Installing Seaborn.srt
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SRT
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2.7 KB
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1. Intro to Appendix B.mp4
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MP4
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3 MB
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1. Intro to Appendix B.srt
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SRT
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4.6 KB
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1. Intro to numpy.html
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HTML
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921 B
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1. Introduction to Machine Learning with SciKit Learn.mp4
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MP4
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17.9 MB
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1. Introduction to Machine Learning with SciKit Learn.srt
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SRT
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19.7 KB
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1. Introduction to SQL with Python.mp4
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MP4
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16.4 MB
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1. Introduction to SQL with Python.srt
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SRT
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16.4 KB
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1. Merge.mp4
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MP4
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18.6 MB
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1. Merge.srt
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SRT
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23.1 KB
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1. Python Overview Part 1.mp4
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MP4
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17.4 MB
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1. Python Overview Part 1.srt
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SRT
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24.8 KB
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1. Reading and Writing Text Files.mp4
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MP4
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10.4 MB
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1. Reading and Writing Text Files.srt
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SRT
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13.1 KB
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1. Series.mp4
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MP4
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12.6 MB
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1. Series.srt
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SRT
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16.5 KB
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1. Web Scraping Part 1.mp4
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MP4
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14.5 MB
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1. Web Scraping Part 1.srt
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SRT
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17.8 KB
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1.1 Link for FAQ.html
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HTML
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102 B
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1.1 Viewer Link For Stats Notes.txt
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TXT
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102 B
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1.2 Link to Code Notebooks for Course!.html
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HTML
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102 B
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10. Chi Square Test and Distribution.mp4
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MP4
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5.6 MB
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10. Chi Square Test and Distribution.srt
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SRT
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4.3 KB
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10. Data Project - Stock Market Analysis Part 3.mp4
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MP4
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16.6 MB
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10. Data Project - Stock Market Analysis Part 3.srt
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SRT
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15 KB
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10. Missing Data.mp4
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MP4
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9.9 MB
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10. Missing Data.srt
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SRT
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14.4 KB
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10. Multi Class Classification Part 1 - Logistic Regression.mp4
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MP4
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26.8 MB
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10. Multi Class Classification Part 1 - Logistic Regression.srt
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SRT
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23.9 KB
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10. Rename Index.mp4
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MP4
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5.2 MB
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10. Rename Index.srt
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7.3 KB
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11. Bayes Theorem.mp4
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MP4
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14.5 MB
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11. Bayes Theorem.srt
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14.3 KB
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11. Binning.mp4
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MP4
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6.3 MB
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11. Binning.srt
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SRT
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7.9 KB
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11. Data Project - Stock Market Analysis Part 4.mp4
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MP4
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9.8 MB
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11. Data Project - Stock Market Analysis Part 4.srt
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SRT
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9.6 KB
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11. Index Hierarchy.mp4
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MP4
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12.2 MB
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11. Index Hierarchy.srt
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17.5 KB
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11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4
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MP4
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30.6 MB
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11. Multi Class Classification Part 2 - k Nearest Neighbor.srt
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SRT
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29.1 KB
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12. Data Project - Stock Market Analysis Part 5.mp4
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MP4
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36.8 MB
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12. Data Project - Stock Market Analysis Part 5.srt
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SRT
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36.6 KB
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12. Outliers.mp4
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MP4
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7.5 MB
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12. Outliers.srt
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SRT
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8.3 KB
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12. Support Vector Machines Part 1.mp4
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MP4
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23.5 MB
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12. Support Vector Machines Part 1.srt
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SRT
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19.1 KB
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13. Data Project - Intro to Election Analysis.mp4
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MP4
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14.9 MB
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13. Data Project - Intro to Election Analysis.srt
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SRT
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3.6 KB
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13. Permutation.mp4
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MP4
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4.6 MB
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13. Permutation.srt
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6.6 KB
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13. Support Vector Machines - Part 2.mp4
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MP4
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35.9 MB
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13. Support Vector Machines - Part 2.srt
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SRT
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35.4 KB
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14. Data Project - Election Analysis Part 1.mp4
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MP4
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19.4 MB
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14. Data Project - Election Analysis Part 1.srt
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SRT
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24.3 KB
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14. Naive Bayes Part 1.mp4
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MP4
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14 MB
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14. Naive Bayes Part 1.srt
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SRT
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13.8 KB
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15. Data Project - Election Analysis Part 2.mp4
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MP4
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24.9 MB
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15. Data Project - Election Analysis Part 2.srt
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SRT
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27.8 KB
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15. Naive Bayes Part 2.mp4
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MP4
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23.2 MB
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15. Naive Bayes Part 2.srt
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SRT
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16.8 KB
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16. Data Project - Election Analysis Part 3.mp4
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MP4
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17.1 MB
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16. Data Project - Election Analysis Part 3.srt
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SRT
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17.1 MB
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16. Decision Trees and Random Forests.mp4
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MP4
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152.9 MB
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16. Decision Trees and Random Forests.srt
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SRT
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42.8 KB
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17. Data Project - Election Analysis Part 4.mp4
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MP4
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82.1 MB
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17. Data Project - Election Analysis Part 4.srt
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SRT
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30.5 KB
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17. Natural Language Processing Part 1.mp4
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MP4
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43.9 MB
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17. Natural Language Processing Part 1.srt
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SRT
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10.9 KB
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18. Natural Language Processing Part 2.mp4
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MP4
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59.7 MB
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18. Natural Language Processing Part 2.srt
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SRT
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21.6 KB
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19. Natural Language Processing Part 3.mp4
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MP4
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92.5 MB
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19. Natural Language Processing Part 3.srt
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SRT
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28.6 KB
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2. Course FAQs.html
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HTML
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6.9 KB
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2. Creating arrays.mp4
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MP4
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6.7 MB
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2. Creating arrays.srt
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SRT
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9.6 KB
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2. DataFrames.mp4
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MP4
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21.9 MB
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2. DataFrames.srt
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SRT
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21.9 KB
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2. Discrete Uniform Distribution.mp4
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MP4
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8.7 MB
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2. Discrete Uniform Distribution.srt
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SRT
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10.1 KB
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2. GroupBy on Dict and Series.mp4
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MP4
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11.8 MB
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2. GroupBy on Dict and Series.srt
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SRT
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15.3 KB
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2. Histograms.mp4
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MP4
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9.4 MB
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2. Histograms.srt
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SRT
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12.6 KB
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2. IDEs and Course Resources.mp4
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MP4
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30.3 MB
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2. IDEs and Course Resources.srt
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SRT
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16.2 KB
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2. Intro to Data Projects.mp4
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MP4
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6.7 MB
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2. Intro to Data Projects.srt
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SRT
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7.3 KB
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2. JSON with Python.mp4
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MP4
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4.3 MB
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2. JSON with Python.srt
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SRT
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5.6 KB
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2. Linear Regression Part 1.mp4
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MP4
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24.2 MB
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2. Linear Regression Part 1.srt
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SRT
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25.6 KB
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2. Merge on Index.mp4
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MP4
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12.3 MB
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2. Merge on Index.srt
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SRT
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14.5 KB
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2. Python Overview Part 2.mp4
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MP4
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11.1 MB
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2. Python Overview Part 2.srt
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SRT
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16.2 KB
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2. SQL - SELECT,DISTINCT,WHERE,AND & OR.mp4
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MP4
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13.5 MB
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2. SQL - SELECT,DISTINCT,WHERE,AND & OR.srt
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SRT
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15.1 KB
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2. Web Scraping Part 2.mp4
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MP4
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17.4 MB
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2. Web Scraping Part 2.srt
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SRT
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16.1 KB
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2.1 First Data Project.txt
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TXT
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307 B
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2.1 Link to Code Notebooks for Course!.html
|
HTML
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102 B
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20. Natural Language Processing Part 4.mp4
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MP4
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67.1 MB
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20. Natural Language Processing Part 4.srt
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SRT
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21 KB
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3. Aggregation.mp4
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MP4
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18.6 MB
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3. Aggregation.srt
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SRT
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18.2 KB
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3. Concatenate.mp4
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MP4
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9.8 MB
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3. Concatenate.srt
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SRT
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12.6 KB
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3. Continuous Uniform Distribution.mp4
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MP4
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9.9 MB
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3. Continuous Uniform Distribution.srt
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SRT
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10.7 KB
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3. HTML with Python.mp4
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MP4
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5.7 MB
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3. HTML with Python.srt
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SRT
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5.6 KB
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3. Index objects.mp4
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MP4
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4.6 MB
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3. Index objects.srt
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SRT
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5.8 KB
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3. Kernel Density Estimate Plots.mp4
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MP4
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27 MB
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3. Kernel Density Estimate Plots.srt
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SRT
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33.9 KB
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3. Linear Regression Part 2.mp4
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MP4
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22.5 MB
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3. Linear Regression Part 2.srt
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SRT
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25.6 KB
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3. Python Overview Part 3.mp4
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MP4
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9.8 MB
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3. Python Overview Part 3.srt
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SRT
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14.2 KB
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3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.mp4
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MP4
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11.7 MB
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3. SQL WILDCARDS, ORDER BY, GROUP BY and Aggregate Functions.srt
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SRT
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12.9 KB
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3. Titanic Project - Part 1.mp4
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MP4
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18.8 MB
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3. Titanic Project - Part 1.srt
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SRT
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23.8 KB
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3. Using arrays and scalars.mp4
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MP4
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4.1 MB
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3. Using arrays and scalars.srt
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SRT
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6.5 KB
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3. iPythonJupyter Notebook Overview.mp4
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MP4
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39.5 MB
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3. iPythonJupyter Notebook Overview.srt
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SRT
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22.7 KB
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3.1 First Data Project.txt
|
TXT
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307 B
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3.1 Lecture 4 Info.txt
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TXT
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204 B
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3.2 Link to Code Notebooks for Course!.html
|
HTML
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102 B
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4. Binomial Distribution.mp4
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MP4
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17 MB
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4. Binomial Distribution.srt
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SRT
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19.4 KB
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4. Combining DataFrames.mp4
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MP4
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9.6 MB
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4. Combining DataFrames.srt
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SRT
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12.8 KB
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4. Combining Plot Styles.mp4
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MP4
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5.7 MB
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4. Combining Plot Styles.srt
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SRT
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8.4 KB
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4. Indexing Arrays.mp4
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MP4
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13.3 MB
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4. Indexing Arrays.srt
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SRT
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18.8 KB
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4. Linear Regression Part 3.mp4
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MP4
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27.2 MB
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4. Linear Regression Part 3.srt
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SRT
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25.6 KB
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4. Microsoft Excel files with Python.mp4
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MP4
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3.6 MB
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4. Microsoft Excel files with Python.srt
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SRT
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5.3 KB
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4. Reindex.mp4
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MP4
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15.8 MB
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4. Reindex.srt
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18.2 KB
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4. Splitting Applying and Combining.mp4
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MP4
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10.6 MB
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4. Splitting Applying and Combining.srt
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SRT
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12.1 KB
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4. Titanic Project - Part 2.mp4
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MP4
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17.5 MB
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4. Titanic Project - Part 2.srt
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SRT
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20.5 KB
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5. Array Transposition.mp4
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MP4
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3.7 MB
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5. Array Transposition.srt
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5 KB
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5. Box and Violin Plots.mp4
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MP4
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8.7 MB
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5. Box and Violin Plots.srt
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SRT
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11 KB
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5. Cross Tabulation.mp4
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MP4
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4.5 MB
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5. Cross Tabulation.srt
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6.8 KB
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5. Drop Entry.mp4
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MP4
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5 MB
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5. Drop Entry.srt
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6.8 KB
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5. Linear Regression Part 4.mp4
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MP4
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30.9 MB
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5. Linear Regression Part 4.srt
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SRT
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32.5 KB
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5. Poisson Distribution.mp4
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MP4
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16 MB
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5. Poisson Distribution.srt
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17.1 KB
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5. Reshaping.mp4
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MP4
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7.1 MB
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5. Reshaping.srt
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SRT
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9 KB
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5. Titanic Project - Part 3.mp4
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MP4
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16.2 MB
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5. Titanic Project - Part 3.srt
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18.9 KB
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6. Logistic Regression Part 1.mp4
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MP4
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25 MB
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6. Logistic Regression Part 1.srt
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20.2 KB
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6. Normal Distribution.mp4
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MP4
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8.3 MB
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6. Normal Distribution.srt
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9.5 KB
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6. Pivoting.mp4
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MP4
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7.1 MB
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6. Pivoting.srt
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8.5 KB
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6. Regression Plots.mp4
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MP4
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17.4 MB
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6. Regression Plots.srt
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24.9 KB
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6. Selecting Entries.mp4
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MP4
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9.6 MB
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6. Selecting Entries.srt
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SRT
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11.7 KB
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6. Titanic Project - Part 4.mp4
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MP4
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2.5 MB
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6. Titanic Project - Part 4.srt
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3.6 KB
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6. Universal Array Function.mp4
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MP4
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6.4 MB
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6. Universal Array Function.srt
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7.7 KB
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7. Array Processing.mp4
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MP4
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20.5 MB
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7. Array Processing.srt
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SRT
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24.4 KB
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7. Data Alignment.mp4
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MP4
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9.5 MB
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7. Data Alignment.srt
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12.2 KB
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7. Duplicates in DataFrames.mp4
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MP4
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5.5 MB
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7. Duplicates in DataFrames.srt
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7.8 KB
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7. Heatmaps and Clustered Matrices.mp4
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MP4
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18.3 MB
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7. Heatmaps and Clustered Matrices.srt
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22.1 KB
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7. Intro to Data Project - Stock Market Analysis.mp4
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MP4
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10.4 MB
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7. Intro to Data Project - Stock Market Analysis.srt
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SRT
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5.2 KB
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7. Logistic Regression Part 2.mp4
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MP4
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20.8 MB
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7. Logistic Regression Part 2.srt
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19.3 KB
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7. Sampling Techniques.mp4
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MP4
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8.1 MB
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7. Sampling Techniques.srt
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7.7 KB
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8. Array Input and Output.mp4
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MP4
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7.1 MB
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8. Array Input and Output.srt
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SRT
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9.6 KB
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8. Data Project - Stock Market Analysis Part 1.mp4
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MP4
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13.6 MB
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8. Data Project - Stock Market Analysis Part 1.srt
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SRT
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17.3 KB
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8. Logistic Regression Part 3.mp4
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MP4
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16.5 MB
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8. Logistic Regression Part 3.srt
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SRT
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14.9 KB
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8. Mapping.mp4
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MP4
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3.9 MB
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8. Mapping.srt
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5.2 KB
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8. Rank and Sort.mp4
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MP4
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4.9 MB
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8. Rank and Sort.srt
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SRT
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7.4 KB
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8. T-Distribution.mp4
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MP4
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6.7 MB
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8. T-Distribution.srt
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SRT
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7.8 KB
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9. Data Project - Stock Market Analysis Part 2.mp4
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MP4
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23.4 MB
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9. Data Project - Stock Market Analysis Part 2.srt
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SRT
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25.5 KB
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9. Hypothesis Testing and Confidence Intervals.mp4
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MP4
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30.7 MB
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9. Hypothesis Testing and Confidence Intervals.srt
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SRT
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28.3 KB
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9. Logistic Regression Part 4.mp4
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MP4
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35.3 MB
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9. Logistic Regression Part 4.srt
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SRT
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27.6 KB
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9. Replace.mp4
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MP4
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2.7 MB
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9. Replace.srt
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SRT
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4.5 KB
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9. Summary Statistics.mp4
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MP4
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21.9 MB
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9. Summary Statistics.srt
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SRT
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29.4 KB
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[CourseClub.Me].url
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URL
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0 B
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[DesireCourse.Net].url
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URL
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0 B
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[FreeCourseWorld.Com].url
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URL
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102 B
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![Udemy - Learning Python For Data Analysis And Visualization [Desire Course]](/static/img/no-torrent-image.png "Udemy - Learning Python For Data Analysis And Visualization [Desire Course]")
