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[] Udemy - Complete Machine Learning Masterclass - Learn From Scratch

  • 收录时间:2020-10-13 05:33:19
  • 文件大小:527MB
  • 下载次数:4
  • 最近下载:2021-01-09 12:10:21
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文件列表

  1. 1. Machine Learning Basics/1. Basics - Part 1.mp4 75MB
  2. 8. Unsupervised Learning Basics and Random Forest/1. Unsupervised Learning Basics and Random Forest - Part 1.mp4 49MB
  3. 9. Ensemble Learning/2. Ensemble Learning - Part 2.mp4 47MB
  4. 2. Classification/1. Classification - Part 1.mp4 44MB
  5. 1. Machine Learning Basics/2. Basics - Part 2.srt 40MB
  6. 1. Machine Learning Basics/2. Basics - Part 2.mp4 40MB
  7. 8. Unsupervised Learning Basics and Random Forest/2. Unsupervised Learning Basics and Random Forest - Part 2.mp4 27MB
  8. 6. Neural Networks/2. Neural Networks - Part 2.mp4 26MB
  9. 9. Ensemble Learning/1. Ensemble Learning - Part 1.mp4 26MB
  10. 6. Neural Networks/1. Neural Networks - Part 1.mp4 22MB
  11. 3. Regression/1. Regression - Part 1.mp4 20MB
  12. 10. Machine Learning Graphical Models/1. Machine Learning Graphical Models - Part 1.mp4 20MB
  13. 10. Machine Learning Graphical Models/2. Machine Learning Graphical Models - Part 2.mp4 16MB
  14. 3. Regression/2. Regression - Part 2.mp4 15MB
  15. 4. Kernel Methods and Boosting/1. Kernel Methods and Boosting - Part 1.mp4 13MB
  16. 5. Model Assessment and Selection/1. Model Assessment and Selection - Part 1.mp4 13MB
  17. 4. Kernel Methods and Boosting/2. Kernel Methods and Boosting - Part 2.mp4 13MB
  18. 5. Model Assessment and Selection/2. Model Assessment and Selection - Part 2.mp4 11MB
  19. 2. Classification/2. Classification - Part 2.mp4 10MB
  20. 8. Unsupervised Learning Basics and Random Forest/1. Unsupervised Learning Basics and Random Forest - Part 1.srt 12KB
  21. 2. Classification/1. Classification - Part 1.srt 11KB
  22. 9. Ensemble Learning/1. Ensemble Learning - Part 1.srt 11KB
  23. 8. Unsupervised Learning Basics and Random Forest/2. Unsupervised Learning Basics and Random Forest - Part 2.srt 10KB
  24. 9. Ensemble Learning/2. Ensemble Learning - Part 2.srt 10KB
  25. 1. Machine Learning Basics/1. Basics - Part 1.srt 9KB
  26. 3. Regression/1. Regression - Part 1.srt 9KB
  27. 6. Neural Networks/2. Neural Networks - Part 2.srt 7KB
  28. 6. Neural Networks/1. Neural Networks - Part 1.srt 7KB
  29. 5. Model Assessment and Selection/1. Model Assessment and Selection - Part 1.srt 6KB
  30. 5. Model Assessment and Selection/2. Model Assessment and Selection - Part 2.srt 5KB
  31. 10. Machine Learning Graphical Models/1. Machine Learning Graphical Models - Part 1.srt 4KB
  32. 2. Classification/2. Classification - Part 2.srt 4KB
  33. 3. Regression/2. Regression - Part 2.srt 4KB
  34. 4. Kernel Methods and Boosting/2. Kernel Methods and Boosting - Part 2.srt 4KB
  35. 10. Machine Learning Graphical Models/2. Machine Learning Graphical Models - Part 2.srt 3KB
  36. 4. Kernel Methods and Boosting/1. Kernel Methods and Boosting - Part 1.srt 3KB
  37. [Tutorialsplanet.NET].url 128B