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Packt - Python Machine Learning Tips Tricks and Techniques

  • 收录时间:2018-08-22 18:49:45
  • 文件大小:758MB
  • 下载次数:160
  • 最近下载:2021-01-21 13:12:38
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文件列表

  1. Exercise Files/code_33873.zip 270MB
  2. 5.Boost Your Overall Model Robustness/24.Perform Metric Selection on Real Data.mp4 61MB
  3. 2.Feature Improvement with Non Linear Classification Techniques/08.Implementing kNN on the Data Set.mp4 30MB
  4. 3.Power of Ensemble Learning with Python/13.Gradient Boosting Trees and Bayes Optimization.mp4 29MB
  5. 3.Power of Ensemble Learning with Python/16.Implement Stacking.mp4 28MB
  6. 1.Improving Your Models Using Feature Engineering/02.Using Feature Scaling to Standardize Data.mp4 27MB
  7. 4.Recommender Systems/19.Applying Matrix Factorization on Datasets.mp4 24MB
  8. 2.Feature Improvement with Non Linear Classification Techniques/09.Decision Tree as Predictive Model.mp4 23MB
  9. 3.Power of Ensemble Learning with Python/15.Implement Blending.mp4 23MB
  10. 3.Power of Ensemble Learning with Python/12.Random Forest for Classification.mp4 21MB
  11. 2.Feature Improvement with Non Linear Classification Techniques/07.Support Vector Machines.mp4 20MB
  12. 4.Recommender Systems/17.Memory-Based Collaborative Filtering.mp4 19MB
  13. 2.Feature Improvement with Non Linear Classification Techniques/11.Combining All Together.mp4 19MB
  14. 4.Recommender Systems/18.Item-to-Item Recommendation with kNN.mp4 18MB
  15. 4.Recommender Systems/20.Wordbatch for Real-World Problem.mp4 18MB
  16. 2.Feature Improvement with Non Linear Classification Techniques/10.Tricks with Dimensionality Reduction.mp4 18MB
  17. 3.Power of Ensemble Learning with Python/14.CatBoost to Handle Categorical Data.mp4 17MB
  18. 1.Improving Your Models Using Feature Engineering/04.Extracting Data with Feature Selection and Interaction.mp4 16MB
  19. 5.Boost Your Overall Model Robustness/21.Validation Dataset Tuning.mp4 14MB
  20. 1.Improving Your Models Using Feature Engineering/06.Build Model Based on Real-World Problems.mp4 13MB
  21. 5.Boost Your Overall Model Robustness/23.Adversarial Validation.mp4 12MB
  22. 1.Improving Your Models Using Feature Engineering/05.Combining All Together.mp4 11MB
  23. 1.Improving Your Models Using Feature Engineering/03.Implementing Feature Engineering with Logistic Regression.mp4 10MB
  24. 5.Boost Your Overall Model Robustness/22.Regularizing Model to Avoid Overfitting.mp4 9MB
  25. 1.Improving Your Models Using Feature Engineering/01.The Course Overview.mp4 8MB