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[] Udemy - Machine Learning with SciKit-Learn with Python

  • 收录时间:2021-11-09 21:35:26
  • 文件大小:4GB
  • 下载次数:1
  • 最近下载:2021-11-09 21:35:26
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文件列表

  1. 9. Cross Validation/13. Performance Analysis on the Test Set.mp4 119MB
  2. 6. Pandas/6. Remove Operations.mp4 117MB
  3. 9. Cross Validation/5. PCA Pipeline.mp4 117MB
  4. 9. Cross Validation/1. Cross Validation.mp4 112MB
  5. 5. Matlplotlib/3. Multiple Figures and Subplots.mp4 110MB
  6. 8. Learning and Predicting/4. Persisting Models.mp4 105MB
  7. 9. Cross Validation/3. K-Means Clustering Example.mp4 104MB
  8. 6. Pandas/7. Pandas Arithmetic Operations.mp4 103MB
  9. 6. Pandas/4. Data Structure in Pandas Continue.mp4 102MB
  10. 8. Learning and Predicting/5. K-NN Algorithm with Example.mp4 101MB
  11. 3. NumPy Array/6. Numpy Array Splicing.mp4 99MB
  12. 3. NumPy Array/4. NumPy Array Operations Continue.mp4 93MB
  13. 9. Cross Validation/15. Language Identifcation.mp4 93MB
  14. 9. Cross Validation/9. Text Data Example.mp4 90MB
  15. 3. NumPy Array/8. Stacking Together Different Arrays.mp4 86MB
  16. 5. Matlplotlib/2. Understanding Various Functions of Pyplot.mp4 85MB
  17. 9. Cross Validation/14. Parameter Tuning.mp4 85MB
  18. 6. Pandas/3. Data Structure in Pandas.mp4 84MB
  19. 6. Pandas/5. Pandas Column Select.mp4 80MB
  20. 3. NumPy Array/3. NumPy Array Operations.mp4 79MB
  21. 9. Cross Validation/11. Occurrences to Frequencies.mp4 77MB
  22. 9. Cross Validation/4. Agglomeration.mp4 77MB
  23. 10. Movie Review Analysis/1. Movie Review Screen Stream.mp4 68MB
  24. 3. NumPy Array/7. NumPy Array Shpe.mp4 67MB
  25. 4. Indexing Arrays of Arrays/3. NumPy Array Boolean.mp4 67MB
  26. 8. Learning and Predicting/2. Digits Dataset Using Matplotlib.mp4 63MB
  27. 4. Indexing Arrays of Arrays/1. NumPy Array Indexing.mp4 62MB
  28. 9. Cross Validation/12. Classifier Training.mp4 61MB
  29. 9. Cross Validation/8. Right Estimator.mp4 60MB
  30. 2. NumPy/2. Features and Installation.mp4 57MB
  31. 3. NumPy Array/10. Copies and Views.mp4 56MB
  32. 3. NumPy Array/2. NumPy Array Attributes.mp4 56MB
  33. 3. NumPy Array/1. NumPy Array Creation.mp4 55MB
  34. 9. Cross Validation/6. Face Recognition.mp4 54MB
  35. 7. Scikit Learn/3. Unsupervised Learning.mp4 53MB
  36. 7. Scikit Learn/2. Supervised.mp4 53MB
  37. 9. Cross Validation/2. Cross Validation Techniques.mp4 52MB
  38. 9. Cross Validation/7. Face Recognition Output.mp4 52MB
  39. 6. Pandas/8. Pandas Arithmetic Operations Continue.mp4 50MB
  40. 7. Scikit Learn/1. Introduction to Scikit Learn.mp4 49MB
  41. 9. Cross Validation/10. Extracting Features.mp4 47MB
  42. 8. Learning and Predicting/1. Scikit Example Digits.mp4 45MB
  43. 3. NumPy Array/9. Splitting one Array into Several Smaller ones.mp4 44MB
  44. 7. Scikit Learn/4. Load Data Set.mp4 43MB
  45. 6. Pandas/2. Intro to Pandas Continue.mp4 43MB
  46. 8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.mp4 42MB
  47. 10. Movie Review Analysis/2. Movie Review Screen Stream Continue.mp4 38MB
  48. 6. Pandas/1. Intro to Pandas.mp4 38MB
  49. 2. NumPy/1. NumPy Introduction.mp4 36MB
  50. 3. NumPy Array/5. NumPy Array Unary Operations.mp4 36MB
  51. 4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.mp4 35MB
  52. 1. Introduction/1. Introduction to Machine Learning.mp4 28MB
  53. 5. Matlplotlib/1. Introduction to Matlplotlib.mp4 27MB
  54. 1. Introduction/2. Advantages and Disadvantages of Machine Learning.mp4 27MB
  55. 8. Learning and Predicting/5. K-NN Algorithm with Example.srt 20KB
  56. 9. Cross Validation/5. PCA Pipeline.srt 19KB
  57. 9. Cross Validation/15. Language Identifcation.srt 18KB
  58. 8. Learning and Predicting/4. Persisting Models.srt 18KB
  59. 9. Cross Validation/1. Cross Validation.srt 18KB
  60. 6. Pandas/4. Data Structure in Pandas Continue.srt 16KB
  61. 9. Cross Validation/9. Text Data Example.srt 16KB
  62. 9. Cross Validation/13. Performance Analysis on the Test Set.srt 15KB
  63. 3. NumPy Array/4. NumPy Array Operations Continue.srt 14KB
  64. 3. NumPy Array/3. NumPy Array Operations.srt 14KB
  65. 3. NumPy Array/6. Numpy Array Splicing.srt 14KB
  66. 6. Pandas/7. Pandas Arithmetic Operations.srt 14KB
  67. 5. Matlplotlib/3. Multiple Figures and Subplots.srt 14KB
  68. 3. NumPy Array/7. NumPy Array Shpe.srt 14KB
  69. 5. Matlplotlib/2. Understanding Various Functions of Pyplot.srt 14KB
  70. 9. Cross Validation/14. Parameter Tuning.srt 13KB
  71. 7. Scikit Learn/2. Supervised.srt 13KB
  72. 6. Pandas/5. Pandas Column Select.srt 13KB
  73. 9. Cross Validation/4. Agglomeration.srt 13KB
  74. 9. Cross Validation/11. Occurrences to Frequencies.srt 13KB
  75. 3. NumPy Array/1. NumPy Array Creation.srt 12KB
  76. 4. Indexing Arrays of Arrays/3. NumPy Array Boolean.srt 12KB
  77. 6. Pandas/3. Data Structure in Pandas.srt 12KB
  78. 4. Indexing Arrays of Arrays/1. NumPy Array Indexing.srt 12KB
  79. 7. Scikit Learn/1. Introduction to Scikit Learn.srt 12KB
  80. 3. NumPy Array/8. Stacking Together Different Arrays.srt 11KB
  81. 6. Pandas/6. Remove Operations.srt 11KB
  82. 6. Pandas/2. Intro to Pandas Continue.srt 11KB
  83. 10. Movie Review Analysis/1. Movie Review Screen Stream.srt 11KB
  84. 1. Introduction/2. Advantages and Disadvantages of Machine Learning.srt 11KB
  85. 7. Scikit Learn/3. Unsupervised Learning.srt 11KB
  86. 6. Pandas/1. Intro to Pandas.srt 10KB
  87. 8. Learning and Predicting/1. Scikit Example Digits.srt 10KB
  88. 3. NumPy Array/2. NumPy Array Attributes.srt 10KB
  89. 8. Learning and Predicting/2. Digits Dataset Using Matplotlib.srt 10KB
  90. 2. NumPy/1. NumPy Introduction.srt 10KB
  91. 9. Cross Validation/10. Extracting Features.srt 9KB
  92. 9. Cross Validation/8. Right Estimator.srt 9KB
  93. 9. Cross Validation/2. Cross Validation Techniques.srt 9KB
  94. 6. Pandas/8. Pandas Arithmetic Operations Continue.srt 9KB
  95. 9. Cross Validation/6. Face Recognition.srt 9KB
  96. 2. NumPy/2. Features and Installation.srt 8KB
  97. 9. Cross Validation/12. Classifier Training.srt 8KB
  98. 3. NumPy Array/9. Splitting one Array into Several Smaller ones.srt 8KB
  99. 8. Learning and Predicting/3. Understading Metrics of Predicted Digits Dataset.srt 8KB
  100. 7. Scikit Learn/4. Load Data Set.srt 8KB
  101. 3. NumPy Array/10. Copies and Views.srt 8KB
  102. 1. Introduction/1. Introduction to Machine Learning.srt 7KB
  103. 3. NumPy Array/5. NumPy Array Unary Operations.srt 7KB
  104. 4. Indexing Arrays of Arrays/2. NumPy Array Indexing Continue.srt 6KB
  105. 5. Matlplotlib/1. Introduction to Matlplotlib.srt 6KB
  106. 10. Movie Review Analysis/2. Movie Review Screen Stream Continue.srt 5KB
  107. 0. Websites you may like/[CourseClub.Me].url 122B
  108. 1. Introduction/[CourseClub.Me].url 122B
  109. 5. Matlplotlib/[CourseClub.Me].url 122B
  110. 8. Learning and Predicting/[CourseClub.Me].url 122B
  111. [CourseClub.Me].url 122B
  112. 0. Websites you may like/[GigaCourse.Com].url 49B
  113. 1. Introduction/[GigaCourse.Com].url 49B
  114. 5. Matlplotlib/[GigaCourse.Com].url 49B
  115. 8. Learning and Predicting/[GigaCourse.Com].url 49B
  116. [GigaCourse.Com].url 49B