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[] [Packt] Python Machine Learning Tips, Tricks, and Techniques [FCO]

  • 收录时间:2020-02-04 06:58:11
  • 文件大小:758MB
  • 下载次数:132
  • 最近下载:2021-01-16 18:55:03
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文件列表

  1. 24 - Perform Metric Selection on Real Data.mp4 220MB
  2. 02 - Using Feature Scaling to Standardize Data.mp4 37MB
  3. 08 - Implementing kNN on the Data Set.mp4 34MB
  4. 13 - Gradient Boosting Trees and Bayes Optimization.mp4 33MB
  5. 16 - Implement Stacking.mp4 31MB
  6. 19 - Applying Matrix Factorization on Datasets.mp4 27MB
  7. 15 - Implement Blending.mp4 27MB
  8. 09 - Decision Tree as Predictive Model.mp4 27MB
  9. 01 - The Course Overview.mp4 27MB
  10. 12 - Random Forest for Classification.mp4 24MB
  11. 07 - Support Vector Machines.mp4 23MB
  12. 20 - Wordbatch for Real-World Problem.mp4 23MB
  13. 21 - Validation Dataset Tuning.mp4 22MB
  14. 04 - Extracting Data with Feature Selection and Interaction.mp4 22MB
  15. 17 - Memory-Based Collaborative Filtering.mp4 21MB
  16. 11 - Combining All Together.mp4 21MB
  17. 18 - Item-to-Item Recommendation with kNN.mp4 21MB
  18. 10 - Tricks with Dimensionality Reduction.mp4 21MB
  19. 14 - CatBoost to Handle Categorical Data.mp4 20MB
  20. 23 - Adversarial Validation.mp4 20MB
  21. 22 - Regularizing Model to Avoid Overfitting.mp4 15MB
  22. 06 - Build Model Based on Real-World Problems.mp4 15MB
  23. 05 - Combining All Together.mp4 13MB
  24. 03 - Implementing Feature Engineering with Logistic Regression.mp4 12MB
  25. 24 - Perform Metric Selection on Real Data.en.ttml 29KB
  26. 13 - Gradient Boosting Trees and Bayes Optimization.en.ttml 18KB
  27. 19 - Applying Matrix Factorization on Datasets.en.ttml 15KB
  28. 15 - Implement Blending.en.ttml 15KB
  29. 16 - Implement Stacking.en.ttml 14KB
  30. 18 - Item-to-Item Recommendation with kNN.en.ttml 13KB
  31. 17 - Memory-Based Collaborative Filtering.en.ttml 12KB
  32. 21 - Validation Dataset Tuning.en.ttml 11KB
  33. 14 - CatBoost to Handle Categorical Data.en.ttml 10KB
  34. 23 - Adversarial Validation.en.ttml 10KB
  35. 20 - Wordbatch for Real-World Problem.en.ttml 10KB
  36. 22 - Regularizing Model to Avoid Overfitting.en.ttml 9KB
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