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[] [Packt] Building Recommendation Systems with Python [FCO]

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  • 文件大小:572MB
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文件列表

  1. 05.Flask Web Application Using PyCharm/0504.Implementation of a Web Application Using Flask.mp4 150MB
  2. 05.Flask Web Application Using PyCharm/0503.Creating a Web Application Using Flask.mp4 78MB
  3. 01.Get Started with Text Mining and Cleaning Data/0102.Exploring Recommendation Engines.mp4 70MB
  4. 01.Get Started with Text Mining and Cleaning Data/0101.The Course Overview.mp4 39MB
  5. 01.Get Started with Text Mining and Cleaning Data/0105.Understanding Text Data Source and Variables.mp4 26MB
  6. 03.Content and Popularity Based Recommender Systems/0302.Implementing the Content-Based Recommender System.mp4 19MB
  7. 01.Get Started with Text Mining and Cleaning Data/0104.Setting Up Your Working Environment.mp4 16MB
  8. 05.Flask Web Application Using PyCharm/0502.Setting Up the Integrated Development Environment.mp4 16MB
  9. 01.Get Started with Text Mining and Cleaning Data/0106.Imputation Methods for Missing Data.mp4 16MB
  10. 04.Hybrid Recommender System/0404.Implementation of the Hybrid Recommender System.mp4 16MB
  11. 03.Content and Popularity Based Recommender Systems/0303.Understanding Popularity-Based Recommender System.mp4 10MB
  12. 03.Content and Popularity Based Recommender Systems/0305.Evaluating Content-Based and Popularity-Based Recommender Systems.mp4 10MB
  13. 02.Collaborative Filtering-Based Recommender System/0204.Applying the CF Algorithm to the IMDBs Dataset.mp4 10MB
  14. 03.Content and Popularity Based Recommender Systems/0304.Implementing the Popularity-Based Recommender System.mp4 10MB
  15. 04.Hybrid Recommender System/0401.Exploring Hybrid Filtering Techniques.mp4 9MB
  16. Exercise Files/exercise_files.zip 9MB
  17. 02.Collaborative Filtering-Based Recommender System/0205.Evaluating the Collaborative Filtering Recommender.mp4 9MB
  18. 05.Flask Web Application Using PyCharm/0501.Understanding the Web Framework – Flask.mp4 9MB
  19. 01.Get Started with Text Mining and Cleaning Data/0103.Working with Variables You Are Taking into Consideration.mp4 8MB
  20. 04.Hybrid Recommender System/0405.Evaluating the Hybrid Recommender System.mp4 7MB
  21. 04.Hybrid Recommender System/0402.Working with the Required Functions – Logic.mp4 7MB
  22. 03.Content and Popularity Based Recommender Systems/0301.Understanding Content-Based Recommender System.mp4 6MB
  23. 02.Collaborative Filtering-Based Recommender System/0203.Implementation of CF Recommender System.mp4 6MB
  24. 02.Collaborative Filtering-Based Recommender System/0201.Understanding Collaborative Filtering.mp4 6MB
  25. 04.Hybrid Recommender System/0403.Algorithm Implementation for Hybrid Recommender System.mp4 5MB
  26. 02.Collaborative Filtering-Based Recommender System/0202.Exploring the Required Functions – Logic.mp4 4MB
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