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[] [UDEMY] Fundamentals of Decision Trees in Machine Learning [FTU]

  • 收录时间:2020-06-24 14:57:20
  • 文件大小:1GB
  • 下载次数:16
  • 最近下载:2020-12-16 22:28:26
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文件列表

  1. 07 Advanced Topics/028 Bagging.mp4 101MB
  2. 03 CHAID/012 CHAID.mp4 92MB
  3. 04 CRT/014 Understanding CRT.mp4 84MB
  4. 06 C5.0/025 Pruning in C5.0.mp4 77MB
  5. 05 QUEST/019 How QUEST handles variables.mp4 72MB
  6. 03 CHAID/011 Bonferonni adjustment and level of measurement.mp4 65MB
  7. 02 Decision Trees in IBM SPSS Modeler/005 Building CHAID model and add a second model with CRT.mp4 64MB
  8. 06 C5.0/023 Winnowing attributes and rule sets.mp4 63MB
  9. 07 Advanced Topics/027 Ensembles.mp4 62MB
  10. 04 CRT/017 Improving your model.mp4 61MB
  11. 04 CRT/016 Stopping rules in CHAID and CRT.mp4 47MB
  12. 05 QUEST/021 Pruning and stopping rules in QUEST.mp4 45MB
  13. 07 Advanced Topics/030 Boosting.mp4 42MB
  14. 07 Advanced Topics/031 Costs and priors.mp4 42MB
  15. 02 Decision Trees in IBM SPSS Modeler/007 Lift and gains chart.mp4 39MB
  16. 02 Decision Trees in IBM SPSS Modeler/004 Decision tree options in SPSS Modeler.mp4 30MB
  17. 03 CHAID/010 Buliding a tree interactively.mp4 30MB
  18. 03 CHAID/009 Chi-squared.mp4 29MB
  19. 07 Advanced Topics/029 Random forests.mp4 28MB
  20. 02 Decision Trees in IBM SPSS Modeler/006 Analysis nodes.mp4 27MB
  21. 04 CRT/015 The complete CRT tree.mp4 27MB
  22. 05 QUEST/020 How QUEST handles missing data.mp4 27MB
  23. 06 C5.0/024 Understanding information gain.mp4 25MB
  24. 04 CRT/013 Gini coefficient.mp4 21MB
  25. 01 Introduction/003 Getting started.mp4 21MB
  26. 03 CHAID/008 Whats an algorithm.mp4 17MB
  27. 06 C5.0/022 ID3 and C4.5.mp4 16MB
  28. 06 C5.0/026 How C5.0 handles missing data.mp4 15MB
  29. 01 Introduction/001 Welcome.mp4 14MB
  30. 01 Introduction/002 Introduction.mp4 11MB
  31. 05 QUEST/018 Understanding QUEST.mp4 7MB
  32. 05 QUEST/attached files/018 Ex-Files-ML-Adv-DecisionTrees.zip 873KB
  33. 01 Introduction/attached files/003 Ex-Files-MachineLearning-Trees.zip 76KB
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