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0
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69.5 KB
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1 - 01 Introduction To Recommender Systems.mp4
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MP4
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33.4 MB
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1
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100.5 KB
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2 - 02 How To Evaluate Recommender Systems.mp4
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MP4
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51 MB
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2
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557.2 KB
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3
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363.5 KB
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4
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142.3 KB
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5
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257.5 KB
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6
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565.8 KB
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10 - 02 Type Conversion Examples.mp4
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MP4
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59.8 MB
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11 - 03 Operators.mp4
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MP4
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161.5 MB
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12 - 04 Collections.mp4
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MP4
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41.6 MB
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13 - 05 List Examples.mp4
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MP4
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109.7 MB
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14 - 06 Tuples Examples.mp4
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52.4 MB
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15 - 07 Dictionaries Examples.mp4
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MP4
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87.3 MB
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16 - 09 Conditionals.mp4
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MP4
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38 MB
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17 - 10 If Statement Examples.mp4
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MP4
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118 MB
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18 - 11 Loops.mp4
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MP4
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167 MB
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19 - 12 Functions.mp4
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MP4
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86.4 MB
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20 - 13 Parameters And Return Values Examples.mp4
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MP4
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78.5 MB
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21 - 14 Classes And Objects.mp4
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MP4
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223.3 MB
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22 - 15 Inheritance Examples.mp4
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130.6 MB
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23 - 16 Static Members Examples.mp4
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MP4
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78.6 MB
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24 - 17 Summary And Outro.mp4
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MP4
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20.8 MB
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25 - Source Code.html
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HTML
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0 B
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26 - 01 Load Data As Pandas Dataframes.mp4
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MP4
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95.7 MB
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27 - 02 Merge Movies And Ratings Dataframes.mp4
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MP4
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58.6 MB
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28 - 03 Build A Correlation Matrix.mp4
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MP4
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45.5 MB
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29 - 04 Test The Recommender.mp4
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MP4
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49.6 MB
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3 - 03 Content Based Recommendations.mp4
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MP4
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17.9 MB
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30 - Source Files.html
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0 B
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30 - SourceFiles.zip
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ZIP
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1.6 MB
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31 - 00 Project Preview.mp4
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MP4
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19.3 MB
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32 - 00A What Is Machine Learning.mp4
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MP4
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27.7 MB
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33 - 00B Types Of Machine Learning Models.mp4
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MP4
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52.5 MB
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34 - 00C What Is Supervised Learning.mp4
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MP4
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59 MB
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35 - 01 Load Data Into Dataframes.mp4
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MP4
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49.8 MB
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36 - 02 Find A Recommendation Based On Different Movie Features.mp4
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MP4
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104.5 MB
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37 - 03 Calculate Distance Between Users.mp4
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MP4
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35 MB
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38 - 04 Find Similar Users With Euclidean Distance.mp4
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MP4
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47.4 MB
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39 - Source Files.html
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HTML
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0 B
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39 - SourceFiles.zip
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ZIP
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1.7 MB
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4 - 04 Neighborhood Based Collaborative Filtering.mp4
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14.3 MB
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40 - 05 Define Similarity Between Users.mp4
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MP4
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37.2 MB
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41 - 06 Find Top Similar Users.mp4
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MP4
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47.2 MB
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42 - 07 Recommend A Movie Based On User Similarity.mp4
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42.8 MB
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43 - Source Files.html
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0 B
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43 - SourceFiles.zip
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ZIP
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851.3 KB
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44 - 08A What Is K Nearest Neighbours.mp4
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MP4
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37.6 MB
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45 - 08B Recommend A Movie With A K Nearest Neighbors Classifier.mp4
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MP4
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70.9 MB
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46 - 09 Create A Sample User For Testing.mp4
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MP4
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55.1 MB
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47 - 10 Recommend Movies To Sample User.mp4
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MP4
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20.5 MB
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48 - Source Files.html
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HTML
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0 B
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48 - SourceFiles.zip
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ZIP
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852.7 KB
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49 - 00 Project Preview.mp4
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MP4
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14.2 MB
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5 - Source Files.html
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HTML
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0 B
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5 - SourceFiles.zip
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ZIP
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4.6 MB
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50 - 01 Load Data For Machine Learning.mp4
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MP4
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105.9 MB
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51 - 02 Process Data For Machine Learning.mp4
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MP4
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77.9 MB
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52 - 03 Build Categories.mp4
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MP4
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55.8 MB
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53 - Source Files.html
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HTML
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0 B
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53 - SourceFiles.zip
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ZIP
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890 KB
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54 - 04A Regression Introduction.mp4
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MP4
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35.9 MB
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55 - 04B What Is Regression.mp4
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MP4
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85.1 MB
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56 - 04C Build A Ridge Regression Model.mp4
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MP4
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72.6 MB
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57 - 05 Evaluate Model Error.mp4
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MP4
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48.9 MB
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58 - 06 Visualize Top Features Affecting Rating.mp4
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MP4
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58.4 MB
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59 - 07 Build A Lasso Regression Model.mp4
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MP4
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55.8 MB
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6 - 00 About Mammoth Interactive.mp4
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MP4
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8.6 MB
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7
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143.2 KB
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8
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537.8 KB
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9
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296.2 KB
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10
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420 KB
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11
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627.1 KB
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12
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584.6 KB
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13
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735.2 KB
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14
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572.1 KB
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15
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94.2 KB
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16
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402.5 KB
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17
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494.1 KB
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18
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87.8 KB
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21
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366.3 KB
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22
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120.4 KB
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23
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26.1 KB
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24
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474.3 KB
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25
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162.4 KB
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26
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994 KB
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27
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410.5 KB
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28
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592 KB
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29
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802.2 KB
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30
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212.4 KB
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31
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212.4 KB
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32
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930.7 KB
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33
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892.6 KB
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34
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486.3 KB
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35
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613.2 KB
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36
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991.5 KB
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37
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230.9 KB
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38
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396.3 KB
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39
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121.3 KB
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40
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572.7 KB
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41
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852.1 KB
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42
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539.8 KB
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43
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315.5 KB
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44
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237.4 KB
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45
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806.8 KB
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46
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121.1 KB
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47
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377.6 KB
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48
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203.8 KB
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49
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550.3 KB
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50
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401.7 KB
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51
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975.4 KB
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52
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398.4 KB
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53
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830.7 KB
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54
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144.1 KB
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55
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30.3 KB
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56
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123.9 KB
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57
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589.4 KB
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58
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154.2 KB
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59
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305 KB
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60 - 08 Visualize Top Features From Lasso Regression.mp4
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MP4
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42.2 MB
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60
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160.5 KB
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61
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475.9 KB
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61 - 09 Determine Which Model Is Best.mp4
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MP4
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17 MB
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62 - SourceFiles.zip
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ZIP
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1.8 MB
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62
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901.1 KB
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62 - Source Files.html
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HTML
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0 B
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63 - 01 Load Data For A Neural Network.mp4
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MP4
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63 MB
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63
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718.2 KB
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64
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125.3 KB
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64 - 02 Build A Singular Value Decomposition Algorithm.mp4
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MP4
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73 MB
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65 - 03 Calculate Model Error.mp4
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MP4
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62.5 MB
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66 - Source Files.html
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HTML
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0 B
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66 - SourceFIles.zip
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ZIP
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1.3 MB
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7 - 01 How To Learn Online Effectively.mp4
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MP4
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74 MB
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8 - 00 Intro To Course And Python.mp4
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MP4
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57.2 MB
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9 - 01 Variables.mp4
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MP4
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106.4 MB
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TutsNode.net.txt
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TXT
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102.4 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614.4 B
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66
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677.1 KB
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67
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787.2 KB
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67 - 01 What Is Deep Learning.mp4
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MP4
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34.9 MB
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68 - 02 What Is A Neural Network.mp4
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MP4
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39.6 MB
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68
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990.8 KB
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69
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369.7 KB
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69 - 03 What Is Unsupervised Learning.mp4
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MP4
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40.8 MB
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70 - 04 Build A Neural Network.mp4
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MP4
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95.6 MB
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70
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413.2 KB
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71 - 05 Train The Neural Network.mp4
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MP4
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87.4 MB
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71
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163 KB
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72 - Source File.html
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HTML
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0 B
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72 - SourceFiles.zip
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ZIP
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683.9 KB
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72
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350.9 KB
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73
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355.7 KB
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73 - 00 Project Preview.mp4
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MP4
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14 MB
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74
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359.7 KB
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74 - 01 Load Data Into Dataframes.mp4
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MP4
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44.7 MB
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75 - 02 Explore Data In Our Dataset.mp4
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MP4
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20.1 MB
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76 - 03 Build A Rating Pivot Table.mp4
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MP4
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30.8 MB
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77 - 04 Calculate Average Rating Of A Movie.mp4
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MP4
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41.9 MB
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78 - 05 Find Ratings For A Movie In Every Slice.mp4
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MP4
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40.5 MB
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79 - 06 Find Rating Averages For Every Movie In The Slice.mp4
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MP4
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54.1 MB
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80 - 07 Build An Average Ratings Column.mp4
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MP4
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91.4 MB
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81 - Source Files.html
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HTML
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0 B
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81 - SourceFiles.zip
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ZIP
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1.7 MB
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