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[Coursera] Practical Machine Learning by Jeff Leek, PhD, Brian Caffo, PhD, Roger D. Peng, PhD

  • 收录时间:2018-03-22 09:33:59
  • 文件大小:354MB
  • 下载次数:187
  • 最近下载:2020-09-02 00:16:57
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文件列表

  1. 02_Week_2/06_Covariate_creation.mp4 23MB
  2. 02_Week_2/07_Preprocessing_with_principal_components_analysis.mp4 17MB
  3. 04_Week_4/01_Regularized_regression.mp4 17MB
  4. 03_Week_3/01_Predicting_with_trees.mp4 16MB
  5. 02_Week_2/08_Predicting_with_Regression.mp4 16MB
  6. 03_Week_3/05_Model_Based_Prediction.mp4 15MB
  7. 02_Week_2/09_Predicting_with_Regression_Multiple_Covariates.mp4 14MB
  8. 02_Week_2/04_Plotting_predictors.mp4 14MB
  9. 01_Week_1/06_Types_of_errors.mp4 14MB
  10. 02_Week_2/05_Basic_preprocessing.mp4 14MB
  11. 01_Week_1/03_Relative_importance_of_steps.mp4 12MB
  12. 03_Week_3/02_Bagging.mp4 11MB
  13. 01_Week_1/05_Prediction_study_design.mp4 11MB
  14. 01_Week_1/02_What_is_prediction.mp4 11MB
  15. 04_Week_4/03_Forecasting.mp4 11MB
  16. 01_Week_1/01_Prediction_motivation.mp4 10MB
  17. 01_Week_1/08_Cross_validation.mp4 10MB
  18. 04_Week_4/02_Combining_predictors.mp4 9MB
  19. 03_Week_3/04_Boosting.mp4 9MB
  20. 02_Week_2/03_Training_options.mp4 9MB
  21. 03_Week_3/03_Random_Forests.mp4 9MB
  22. 01_Week_1/04_In_and_out_of_sample_errors.mp4 9MB
  23. 02_Week_2/01_Caret_package.mp4 8MB
  24. 01_Week_1/09_What_data_should_you_use.mp4 8MB
  25. 02_Week_2/02_Data_slicing.mp4 7MB
  26. 01_Week_1/07_Receiver_Operating_Characteristic.mp4 6MB
  27. 04_Week_4/04_Unsupervised_Prediction.mp4 5MB
  28. 02_Week_2/01_Caret_package.pdf 2MB
  29. 02_Week_2/06_Covariate_creation.pdf 2MB
  30. 01_Week_1/02_What_is_prediction.pdf 2MB
  31. 02_Week_2/08_Predicting_with_Regression.pdf 2MB
  32. 02_Week_2/09_Predicting_with_Regression_Multiple_Covariates.pdf 2MB
  33. 04_Week_4/03_Forecasting.pdf 2MB
  34. 04_Week_4/02_Combining_predictors.pdf 2MB
  35. 02_Week_2/07_Preprocessing_with_principal_components_analysis.pdf 2MB
  36. 01_Week_1/06_Types_of_errors.pdf 2MB
  37. 04_Week_4/01_Regularized_regression.pdf 2MB
  38. 01_Week_1/09_What_data_should_you_use.pdf 2MB
  39. 02_Week_2/04_Plotting_predictors.pdf 2MB
  40. 03_Week_3/01_Predicting_with_trees.pdf 2MB
  41. 03_Week_3/02_Bagging.pdf 2MB
  42. 02_Week_2/05_Basic_preprocessing.pdf 2MB
  43. 03_Week_3/03_Random_Forests.pdf 1MB
  44. 02_Week_2/03_Training_options.pdf 1MB
  45. 03_Week_3/05_Model_Based_Prediction.pdf 1MB
  46. 01_Week_1/01_Prediction_motivation.pdf 1MB
  47. 03_Week_3/04_Boosting.pdf 1MB
  48. 01_Week_1/04_In_and_out_of_sample_errors.pdf 1MB
  49. 01_Week_1/03_Relative_importance_of_steps.pdf 907KB
  50. 01_Week_1/05_Prediction_study_design.pdf 862KB
  51. 02_Week_2/02_Data_slicing.pdf 833KB
  52. 04_Week_4/04_Unsupervised_Prediction.pdf 736KB
  53. 01_Week_1/08_Cross_validation.pdf 501KB
  54. 01_Week_1/07_Receiver_Operating_Characteristic.pdf 336KB
  55. 02_Week_2/06_Covariate_creation.srt 30KB
  56. 02_Week_2/07_Preprocessing_with_principal_components_analysis.srt 24KB
  57. 04_Week_4/01_Regularized_regression.srt 21KB
  58. 03_Week_3/01_Predicting_with_trees.srt 20KB
  59. 02_Week_2/08_Predicting_with_Regression.srt 19KB
  60. 03_Week_3/05_Model_Based_Prediction.srt 19KB
  61. 01_Week_1/06_Types_of_errors.srt 19KB
  62. 02_Week_2/05_Basic_preprocessing.srt 19KB
  63. 01_Week_1/03_Relative_importance_of_steps.srt 18KB
  64. 02_Week_2/06_Covariate_creation.txt 18KB
  65. 02_Week_2/09_Predicting_with_Regression_Multiple_Covariates.srt 18KB
  66. 02_Week_2/04_Plotting_predictors.srt 18KB
  67. 01_Week_1/05_Prediction_study_design.srt 16KB
  68. 01_Week_1/01_Prediction_motivation.srt 15KB
  69. 01_Week_1/02_What_is_prediction.srt 15KB
  70. 01_Week_1/08_Cross_validation.srt 15KB
  71. 02_Week_2/07_Preprocessing_with_principal_components_analysis.txt 15KB
  72. 03_Week_3/02_Bagging.srt 15KB
  73. 04_Week_4/01_Regularized_regression.txt 13KB
  74. 02_Week_2/03_Training_options.srt 13KB
  75. 03_Week_3/01_Predicting_with_trees.txt 13KB
  76. 01_Week_1/04_In_and_out_of_sample_errors.srt 12KB
  77. 04_Week_4/03_Forecasting.srt 12KB
  78. 02_Week_2/08_Predicting_with_Regression.txt 12KB
  79. 01_Week_1/06_Types_of_errors.txt 12KB
  80. 03_Week_3/04_Boosting.srt 12KB
  81. 03_Week_3/05_Model_Based_Prediction.txt 12KB
  82. 03_Week_3/03_Random_Forests.srt 12KB
  83. 02_Week_2/05_Basic_preprocessing.txt 11KB
  84. 01_Week_1/09_What_data_should_you_use.srt 11KB
  85. 01_Week_1/03_Relative_importance_of_steps.txt 11KB
  86. 02_Week_2/09_Predicting_with_Regression_Multiple_Covariates.txt 11KB
  87. 02_Week_2/04_Plotting_predictors.txt 11KB
  88. 02_Week_2/01_Caret_package.srt 11KB
  89. 04_Week_4/02_Combining_predictors.srt 11KB
  90. 01_Week_1/05_Prediction_study_design.txt 10KB
  91. 01_Week_1/02_What_is_prediction.txt 9KB
  92. 02_Week_2/02_Data_slicing.srt 9KB
  93. 01_Week_1/08_Cross_validation.txt 9KB
  94. 01_Week_1/01_Prediction_motivation.txt 9KB
  95. 03_Week_3/02_Bagging.txt 9KB
  96. 01_Week_1/07_Receiver_Operating_Characteristic.srt 9KB
  97. 01_Week_1/04_In_and_out_of_sample_errors.txt 8KB
  98. 02_Week_2/03_Training_options.txt 8KB
  99. 04_Week_4/03_Forecasting.txt 8KB
  100. 03_Week_3/04_Boosting.txt 7KB
  101. 03_Week_3/03_Random_Forests.txt 7KB
  102. 04_Week_4/04_Unsupervised_Prediction.srt 7KB
  103. 01_Week_1/09_What_data_should_you_use.txt 7KB
  104. 02_Week_2/01_Caret_package.txt 7KB
  105. 04_Week_4/02_Combining_predictors.txt 7KB
  106. 02_Week_2/02_Data_slicing.txt 6KB
  107. 01_Week_1/07_Receiver_Operating_Characteristic.txt 5KB
  108. 04_Week_4/04_Unsupervised_Prediction.txt 5KB