Recommendation System & Recommendation Engine with Python

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Files Included :

1 Introduction to Project.mp4 (17.25 MB)
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2 Collaborative Filtering.mp4 (46.3 MB)
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3 Anaconda Setup Dataset Download.mp4 (37.33 MB)
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4 Surprise Data frame.mp4 (52.13 MB)
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5 Cross Validation Model.mp4 (24.33 MB)
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6 Train Test Prediction.mp4 (28.99 MB)
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7 Function For Prediction.mp4 (61.36 MB)
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8 Movie Prediction.mp4 (37.19 MB)
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1 Introduction to Project.mp4 (24.35 MB)
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10 Content Based.mp4 (27.9 MB)
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11 Feature Extraction.mp4 (60.15 MB)
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12 Content Recommender.mp4 (28.35 MB)
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13 Import Data.mp4 (47.82 MB)
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14 Soup Function.mp4 (40.52 MB)
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15 Reset Index Function.mp4 (41.43 MB)
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2 Case Study.mp4 (61.2 MB)
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3 Numerical Cols.mp4 (64.1 MB)
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4 Functions.mp4 (44.22 MB)
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5 Rename Notebook.mp4 (38.8 MB)
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6 Variable Name.mp4 (52.58 MB)
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7 Publication Date.mp4 (43.92 MB)
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8 Developing function.mp4 (40.22 MB)
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9 Sort Book.mp4 (62.66 MB)
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1 Introduction to Project.mp4 (21.28 MB)
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10 Import NumPy.mp4 (29.28 MB)
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11 Hybrid Model.mp4 (53.43 MB)
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2 Enter a New Book Name.mp4 (55.96 MB)
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3 Users Data.mp4 (30.07 MB)
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4 Baseline.mp4 (51.07 MB)
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5 Users ID.mp4 (37.01 MB)
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6 User ID Column.mp4 (23.79 MB)
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7 Book ID Index.mp4 (38.2 MB)
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8 Import Pandas.mp4 (89.47 MB)
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9 Hybrid.mp4 (48.21 MB)
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1 Intro to Develop A Movie Recommendation Engine.mp4 (23.19 MB)
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2 Importing Libraries for the Project.mp4 (108.2 MB)
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3 Simple Recommender.mp4 (98.86 MB)
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4 Simple Recommender Continue.mp4 (59.26 MB)
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5 Content Based Recommender.mp4 (63.34 MB)
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6 Content Based Recommender Continue.mp4 (63.27 MB)
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