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[FreeCourseWeb] Udemy - Machine Learning Intro for Python Developers

  • 收录时间:2020-08-04 18:27:40
  • 文件大小:366MB
  • 下载次数:8
  • 最近下载:2021-01-15 17:38:17
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文件列表

  1. 2. First Program (Classifier)/3. First Program (Classifier).mp4 55MB
  2. 4. Regression/3. Regression Example.mp4 51MB
  3. 5. Clustering/3. Kmeans explained.mp4 48MB
  4. 3. Iris Classifier/2. Accuracy Score.mp4 33MB
  5. 4. Regression/1. Linear Regression.mp4 32MB
  6. 5. Clustering/1. Clustering.mp4 31MB
  7. 4. Regression/4. Polynomial Regression.mp4 28MB
  8. 3. Iris Classifier/1. Iris Classifier.mp4 26MB
  9. 3. Iris Classifier/3. See a Decision Tree.mp4 19MB
  10. 1. Introduction/4. Supervised Learning.mp4 15MB
  11. 1. Introduction/3. Example Problems.mp4 10MB
  12. 1. Introduction/2. What is Machine Learning.mp4 9MB
  13. 1. Introduction/1. Introduction.mp4 8MB
  14. 5. Clustering/1. Clustering.vtt 6KB
  15. 4. Regression/3. Regression Example.vtt 6KB
  16. 4. Regression/1. Linear Regression.vtt 6KB
  17. 2. First Program (Classifier)/3. First Program (Classifier).vtt 6KB
  18. 5. Clustering/3. Kmeans explained.vtt 5KB
  19. 4. Regression/4. Polynomial Regression.vtt 5KB
  20. 3. Iris Classifier/2. Accuracy Score.vtt 4KB
  21. 5. Clustering/1.1 ML-cluster.py.py 3KB
  22. 1. Introduction/4. Supervised Learning.vtt 3KB
  23. 3. Iris Classifier/1. Iris Classifier.vtt 2KB
  24. 3. Iris Classifier/3. See a Decision Tree.vtt 2KB
  25. 1. Introduction/3. Example Problems.vtt 2KB
  26. 3. Iris Classifier/3.1 ML-draw-a-classification-tree.py.py 2KB
  27. 1. Introduction/2. What is Machine Learning.vtt 1KB
  28. 4. Regression/3.1 ML-regression3.py.py 1KB
  29. 2. First Program (Classifier)/1. Installing Scikit and Numpy.html 1KB
  30. 3. Iris Classifier/2.1 ML-accuracy.py.py 1020B
  31. 2. First Program (Classifier)/3.1 ML-classification-example1.py.py 968B
  32. 2. First Program (Classifier)/4.1 ML-classification-example1.py.py 968B
  33. 1. Introduction/1. Introduction.vtt 910B
  34. 4. Regression/1.2 ML-regression2.py.py 908B
  35. 3. Iris Classifier/1.1 ML-classification-iris.py.py 865B
  36. 4. Regression/4.1 ML-nonlinear-prediction.py.py 831B
  37. 5. Clustering/2. Lecture Notes.html 708B
  38. [TGx]Downloaded from torrentgalaxy.org .txt 587B
  39. 4. Regression/1.1 ML-regression1.py.py 560B
  40. 4. Regression/2. Lecture Notes.html 455B
  41. 2. First Program (Classifier)/4. Lecture Notes.html 420B
  42. 2. First Program (Classifier)/5. Exercise.html 285B
  43. 2. First Program (Classifier)/2. Important Note.html 268B
  44. 2. First Program (Classifier)/5.1 solution.py.py 261B
  45. Torrent Downloaded From GloDls.to.txt 84B
  46. Torrent Downloaded From limetorrents.info.txt 53B
  47. Torrent downloaded from 1337x.to.txt 43B