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[ ] Udemy - Imbalanced Classification Master Class in Python

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文件列表

  1. ~Get Your Files Here !/03 Model Evaluation/001 Evaluation Metrics and Imbalance.mp4 39MB
  2. ~Get Your Files Here !/06 Projects/004 Model Test and Baseline Result.mp4 35MB
  3. ~Get Your Files Here !/01 Introduction/005 Causes of Class Imbalance.mp4 29MB
  4. ~Get Your Files Here !/05 Cost-Sensitive Learning/002 Not All Classification Errors Are Equal.mp4 26MB
  5. ~Get Your Files Here !/03 Model Evaluation/006 Accuracy Fails for Imbalanced Classification.mp4 25MB
  6. ~Get Your Files Here !/04 Data Sampling/006 Demo_ Random Oversampling Imbalanced Datasets.mp4 22MB
  7. ~Get Your Files Here !/06 Projects/001 Project_ Breast Cancer Dataset.mp4 22MB
  8. ~Get Your Files Here !/03 Model Evaluation/004 Probabilistic Metrics for Imbalanced Classification.mp4 21MB
  9. ~Get Your Files Here !/03 Model Evaluation/008 Demo_ Accuracy for Imbalanced Classification.mp4 21MB
  10. ~Get Your Files Here !/05 Cost-Sensitive Learning/013 Decision Trees for Imbalanced Classification.mp4 21MB
  11. ~Get Your Files Here !/05 Cost-Sensitive Learning/004 Cost-Sensitive Imbalanced Classification.mp4 20MB
  12. ~Get Your Files Here !/06 Projects/002 Haberman Breast Cancer Survival Dataset.mp4 20MB
  13. ~Get Your Files Here !/03 Model Evaluation/007 Accuracy Paradox.mp4 19MB
  14. ~Get Your Files Here !/02 Understanding Class Imbalance/004 Why Imbalanced Classification Is Hard.mp4 19MB
  15. ~Get Your Files Here !/04 Data Sampling/007 Demo_ Random Undersampling Imbalanced Datasets.mp4 18MB
  16. ~Get Your Files Here !/03 Model Evaluation/028 Failure of k-Fold Cross-Validation.mp4 18MB
  17. ~Get Your Files Here !/03 Model Evaluation/010 Precision for Multi-Class Classification.mp4 16MB
  18. ~Get Your Files Here !/04 Data Sampling/015 Near Miss Undersampling (NearMiss-1).mp4 16MB
  19. ~Get Your Files Here !/01 Introduction/001 Introduction.mp4 16MB
  20. ~Get Your Files Here !/01 Introduction/003 Course Structure.mp4 16MB
  21. ~Get Your Files Here !/04 Data Sampling/008 Demo_ Combining Random Oversampling and Undersampling Techniques.mp4 15MB
  22. ~Get Your Files Here !/05 Cost-Sensitive Learning/018 Deep Learning for Imbalanced Classification.mp4 15MB
  23. ~Get Your Files Here !/05 Cost-Sensitive Learning/019 Weighted Neural Network With Keras.mp4 15MB
  24. ~Get Your Files Here !/03 Model Evaluation/025 Brier Score.mp4 15MB
  25. ~Get Your Files Here !/03 Model Evaluation/026 Cross-Validation for Imbalanced Classification.mp4 15MB
  26. ~Get Your Files Here !/04 Data Sampling/010 SMOTE for Balancing Data.mp4 15MB
  27. ~Get Your Files Here !/04 Data Sampling/011 SMOTE for Classification.mp4 15MB
  28. ~Get Your Files Here !/05 Cost-Sensitive Learning/008 Cost-Sensitive Logistic Regression.mp4 15MB
  29. ~Get Your Files Here !/01 Introduction/007 Examples of Class Imbalance.mp4 14MB
  30. ~Get Your Files Here !/04 Data Sampling/014 Undersampling Methods.mp4 14MB
  31. ~Get Your Files Here !/02 Understanding Class Imbalance/006 Compounding Effect of Label Noise.mp4 14MB
  32. ~Get Your Files Here !/03 Model Evaluation/021 ROC AUC on with Severe Imbalance.mp4 14MB
  33. ~Get Your Files Here !/05 Cost-Sensitive Learning/012 Cost-Sensitive Decision Trees for Imbalanced Classification.mp4 13MB
  34. ~Get Your Files Here !/05 Cost-Sensitive Learning/009 Logistic Regression for Imbalanced Classification.mp4 13MB
  35. ~Get Your Files Here !/02 Understanding Class Imbalance/005 Compounding Effect of Dataset Size.mp4 13MB
  36. ~Get Your Files Here !/03 Model Evaluation/019 Precision-Recall Curves.mp4 12MB
  37. ~Get Your Files Here !/04 Data Sampling/003 Undersampling Techniques.mp4 12MB
  38. ~Get Your Files Here !/04 Data Sampling/005 Random Resampling Imbalanced Datasets.mp4 12MB
  39. ~Get Your Files Here !/02 Understanding Class Imbalance/007 Compounding Effect of Data Distribution.mp4 12MB
  40. ~Get Your Files Here !/05 Cost-Sensitive Learning/017 Neural Network Model in Keras.mp4 12MB
  41. ~Get Your Files Here !/06 Projects/005 Evaluate Probabilistic Models.mp4 12MB
  42. ~Get Your Files Here !/04 Data Sampling/020 Neighborhood Cleaning Rule for Undersampling.mp4 12MB
  43. ~Get Your Files Here !/05 Cost-Sensitive Learning/011 Grid Search Weighted Logistic Regression.mp4 12MB
  44. ~Get Your Files Here !/03 Model Evaluation/024 Log Loss Score.mp4 12MB
  45. ~Get Your Files Here !/02 Understanding Class Imbalance/002 Effect of Skewed Class Distributions.mp4 11MB
  46. ~Get Your Files Here !/04 Data Sampling/009 Synthetic Minority Oversampling Technique (SMOTE).mp4 11MB
  47. ~Get Your Files Here !/03 Model Evaluation/009 Precision for Imbalanced Classification.mp4 11MB
  48. ~Get Your Files Here !/03 Model Evaluation/011 Recall for Imbalanced Classification.mp4 11MB
  49. ~Get Your Files Here !/01 Introduction/004 Imbalanced Classification Defined.mp4 11MB
  50. ~Get Your Files Here !/05 Cost-Sensitive Learning/010 Weighted Logistic Regression with Scikit-Learn.mp4 11MB
  51. ~Get Your Files Here !/04 Data Sampling/018 Tomek Links for Undersampling.mp4 11MB
  52. ~Get Your Files Here !/04 Data Sampling/012 Borderline-SMOTE SVM.mp4 10MB
  53. ~Get Your Files Here !/03 Model Evaluation/017 Demo_ ROC Curve.mp4 10MB
  54. ~Get Your Files Here !/03 Model Evaluation/018 ROC Area Under Curve (AUC) Score.mp4 10MB
  55. ~Get Your Files Here !/04 Data Sampling/017 Condensed Nearest Neighbor Rule Undersampling.mp4 10MB
  56. ~Get Your Files Here !/05 Cost-Sensitive Learning/003 Cost-Sensitive Learning.mp4 10MB
  57. ~Get Your Files Here !/01 Introduction/006 Challenge of Imbalance Classification.mp4 10MB
  58. ~Get Your Files Here !/06 Projects/007 Model Evaluation With Power Transform.mp4 10MB
  59. ~Get Your Files Here !/05 Cost-Sensitive Learning/015 Grid Search Weighted Decision Tree.mp4 10MB
  60. ~Get Your Files Here !/04 Data Sampling/001 Data Sampling Methods for Imbalanced Classification.mp4 10MB
  61. ~Get Your Files Here !/04 Data Sampling/019 Edited Nearest Neighbors Rule for Undersampling (ENN).mp4 10MB
  62. ~Get Your Files Here !/06 Projects/006 Model Evaluation With Scaled Inputs.mp4 10MB
  63. ~Get Your Files Here !/03 Model Evaluation/013 F-Measure for Imbalanced Classification.mp4 10MB
  64. ~Get Your Files Here !/03 Model Evaluation/022 ROC and Precision-Recall Curves With a Severe Imbalance.mp4 9MB
  65. ~Get Your Files Here !/05 Cost-Sensitive Learning/016 Develop a Cost-Sensitive Neural Network for Imbalanced Classification.mp4 9MB
  66. ~Get Your Files Here !/03 Model Evaluation/002 Taxonomy of Classifier Evaluation Metrics.mp4 9MB
  67. ~Get Your Files Here !/05 Cost-Sensitive Learning/007 Cost-Sensitive Ensembles.mp4 9MB
  68. ~Get Your Files Here !/05 Cost-Sensitive Learning/014 Weighted Decision Tree With Scikit-Learn.mp4 9MB
  69. ~Get Your Files Here !/04 Data Sampling/013 Adaptive Synthetic Sampling (ADASYN).mp4 9MB
  70. ~Get Your Files Here !/04 Data Sampling/002 Oversampling Techniques.mp4 9MB
  71. ~Get Your Files Here !/03 Model Evaluation/003 Ranking Metrics for Imbalanced Classification.mp4 8MB
  72. ~Get Your Files Here !/03 Model Evaluation/027 Challenge of Evaluating Classifiers.mp4 8MB
  73. ~Get Your Files Here !/03 Model Evaluation/015 ROC Curves and Precision-Recall Curves.mp4 8MB
  74. ~Get Your Files Here !/03 Model Evaluation/020 Precision-Recall Area Under Curve (AUC) Score.mp4 8MB
  75. ~Get Your Files Here !/05 Cost-Sensitive Learning/006 Cost-Sensitive Algorithms.mp4 7MB
  76. ~Get Your Files Here !/02 Understanding Class Imbalance/003 Visualizing Extreme Skew.mp4 7MB
  77. ~Get Your Files Here !/03 Model Evaluation/005 How to Choose an Evaluation Metric.mp4 7MB
  78. ~Get Your Files Here !/03 Model Evaluation/016 ROC Curve.mp4 7MB
  79. ~Get Your Files Here !/03 Model Evaluation/012 Demo_ Recall for Imbalanced Classification.mp4 7MB
  80. ~Get Your Files Here !/05 Cost-Sensitive Learning/005 Cost-Sensitive Methods.mp4 6MB
  81. ~Get Your Files Here !/06 Projects/003 Dataset Exploration.mp4 6MB
  82. ~Get Your Files Here !/05 Cost-Sensitive Learning/001 Cost-Sensitive Learning for Imbalanced Classification.mp4 6MB
  83. ~Get Your Files Here !/04 Data Sampling/016 Near Miss Undersampling (NearMiss-2 and NearMiss-3).mp4 6MB
  84. ~Get Your Files Here !/03 Model Evaluation/023 Probability Scoring Methods in Python.mp4 6MB
  85. ~Get Your Files Here !/01 Introduction/002 Course Outcomes.mp4 5MB
  86. ~Get Your Files Here !/04 Data Sampling/004 Combinations of Techniques.mp4 4MB
  87. ~Get Your Files Here !/02 Understanding Class Imbalance/001 Create Synthetic Dataset with Class Distribution.mp4 4MB
  88. ~Get Your Files Here !/03 Model Evaluation/014 Demo_ F- Measure for Imbalanced Classification.mp4 3MB
  89. ~Get Your Files Here !/02 Understanding Class Imbalance/008 Imbalanced Classification in Python.ipynb 105KB
  90. ~Get Your Files Here !/06 Projects/004 Model Test and Baseline Result.en.srt 9KB
  91. ~Get Your Files Here !/06 Projects/003 Dataset Exploration.en.srt 7KB
  92. ~Get Your Files Here !/03 Model Evaluation/002 Taxonomy of Classifier Evaluation Metrics.en.srt 6KB
  93. ~Get Your Files Here !/04 Data Sampling/006 Demo_ Random Oversampling Imbalanced Datasets.en.srt 6KB
  94. ~Get Your Files Here !/05 Cost-Sensitive Learning/004 Cost-Sensitive Imbalanced Classification.en.srt 6KB
  95. ~Get Your Files Here !/03 Model Evaluation/008 Demo_ Accuracy for Imbalanced Classification.en.srt 6KB
  96. ~Get Your Files Here !/04 Data Sampling/003 Undersampling Techniques.en.srt 6KB
  97. ~Get Your Files Here !/01 Introduction/004 Imbalanced Classification Defined.en.srt 6KB
  98. ~Get Your Files Here !/05 Cost-Sensitive Learning/002 Not All Classification Errors Are Equal.en.srt 6KB
  99. ~Get Your Files Here !/04 Data Sampling/015 Near Miss Undersampling (NearMiss-1).en.srt 6KB
  100. ~Get Your Files Here !/02 Understanding Class Imbalance/004 Why Imbalanced Classification Is Hard.en.srt 5KB
  101. ~Get Your Files Here !/03 Model Evaluation/025 Brier Score.en.srt 5KB
  102. ~Get Your Files Here !/03 Model Evaluation/001 Evaluation Metrics and Imbalance.en.srt 5KB
  103. ~Get Your Files Here !/02 Understanding Class Imbalance/006 Compounding Effect of Label Noise.en.srt 5KB
  104. ~Get Your Files Here !/03 Model Evaluation/028 Failure of k-Fold Cross-Validation.en.srt 5KB
  105. ~Get Your Files Here !/03 Model Evaluation/003 Ranking Metrics for Imbalanced Classification.en.srt 5KB
  106. ~Get Your Files Here !/03 Model Evaluation/004 Probabilistic Metrics for Imbalanced Classification.en.srt 5KB
  107. ~Get Your Files Here !/02 Understanding Class Imbalance/007 Compounding Effect of Data Distribution.en.srt 4KB
  108. ~Get Your Files Here !/05 Cost-Sensitive Learning/003 Cost-Sensitive Learning.en.srt 4KB
  109. ~Get Your Files Here !/04 Data Sampling/007 Demo_ Random Undersampling Imbalanced Datasets.en.srt 4KB
  110. ~Get Your Files Here !/03 Model Evaluation/013 F-Measure for Imbalanced Classification.en.srt 4KB
  111. ~Get Your Files Here !/04 Data Sampling/010 SMOTE for Balancing Data.en.srt 4KB
  112. ~Get Your Files Here !/03 Model Evaluation/009 Precision for Imbalanced Classification.en.srt 4KB
  113. ~Get Your Files Here !/03 Model Evaluation/016 ROC Curve.en.srt 4KB
  114. ~Get Your Files Here !/05 Cost-Sensitive Learning/019 Weighted Neural Network With Keras.en.srt 4KB
  115. ~Get Your Files Here !/05 Cost-Sensitive Learning/009 Logistic Regression for Imbalanced Classification.en.srt 4KB
  116. ~Get Your Files Here !/02 Understanding Class Imbalance/001 Create Synthetic Dataset with Class Distribution.en.srt 4KB
  117. ~Get Your Files Here !/02 Understanding Class Imbalance/005 Compounding Effect of Dataset Size.en.srt 4KB
  118. ~Get Your Files Here !/05 Cost-Sensitive Learning/008 Cost-Sensitive Logistic Regression.en.srt 4KB
  119. ~Get Your Files Here !/02 Understanding Class Imbalance/002 Effect of Skewed Class Distributions.en.srt 4KB
  120. ~Get Your Files Here !/03 Model Evaluation/010 Precision for Multi-Class Classification.en.srt 4KB
  121. ~Get Your Files Here !/03 Model Evaluation/024 Log Loss Score.en.srt 4KB
  122. ~Get Your Files Here !/03 Model Evaluation/019 Precision-Recall Curves.en.srt 4KB
  123. ~Get Your Files Here !/03 Model Evaluation/005 How to Choose an Evaluation Metric.en.srt 4KB
  124. ~Get Your Files Here !/03 Model Evaluation/006 Accuracy Fails for Imbalanced Classification.en.srt 4KB
  125. ~Get Your Files Here !/05 Cost-Sensitive Learning/013 Decision Trees for Imbalanced Classification.en.srt 4KB
  126. ~Get Your Files Here !/03 Model Evaluation/027 Challenge of Evaluating Classifiers.en.srt 4KB
  127. ~Get Your Files Here !/03 Model Evaluation/021 ROC AUC on with Severe Imbalance.en.srt 4KB
  128. ~Get Your Files Here !/04 Data Sampling/005 Random Resampling Imbalanced Datasets.en.srt 4KB
  129. ~Get Your Files Here !/04 Data Sampling/009 Synthetic Minority Oversampling Technique (SMOTE).en.srt 4KB
  130. ~Get Your Files Here !/04 Data Sampling/008 Demo_ Combining Random Oversampling and Undersampling Techniques.en.srt 4KB
  131. ~Get Your Files Here !/06 Projects/005 Evaluate Probabilistic Models.en.srt 4KB
  132. ~Get Your Files Here !/04 Data Sampling/011 SMOTE for Classification.en.srt 4KB
  133. ~Get Your Files Here !/03 Model Evaluation/011 Recall for Imbalanced Classification.en.srt 4KB
  134. ~Get Your Files Here !/02 Understanding Class Imbalance/003 Visualizing Extreme Skew.en.srt 3KB
  135. ~Get Your Files Here !/01 Introduction/003 Course Structure.en.srt 3KB
  136. ~Get Your Files Here !/03 Model Evaluation/022 ROC and Precision-Recall Curves With a Severe Imbalance.en.srt 3KB
  137. ~Get Your Files Here !/04 Data Sampling/020 Neighborhood Cleaning Rule for Undersampling.en.srt 3KB
  138. ~Get Your Files Here !/05 Cost-Sensitive Learning/017 Neural Network Model in Keras.en.srt 3KB
  139. ~Get Your Files Here !/04 Data Sampling/018 Tomek Links for Undersampling.en.srt 3KB
  140. ~Get Your Files Here !/03 Model Evaluation/015 ROC Curves and Precision-Recall Curves.en.srt 3KB
  141. ~Get Your Files Here !/04 Data Sampling/012 Borderline-SMOTE SVM.en.srt 3KB
  142. ~Get Your Files Here !/03 Model Evaluation/017 Demo_ ROC Curve.en.srt 3KB
  143. ~Get Your Files Here !/04 Data Sampling/017 Condensed Nearest Neighbor Rule Undersampling.en.srt 3KB
  144. ~Get Your Files Here !/01 Introduction/005 Causes of Class Imbalance.en.srt 3KB
  145. ~Get Your Files Here !/01 Introduction/006 Challenge of Imbalance Classification.en.srt 3KB
  146. ~Get Your Files Here !/03 Model Evaluation/018 ROC Area Under Curve (AUC) Score.en.srt 3KB
  147. ~Get Your Files Here !/04 Data Sampling/002 Oversampling Techniques.en.srt 3KB
  148. ~Get Your Files Here !/05 Cost-Sensitive Learning/006 Cost-Sensitive Algorithms.en.srt 3KB
  149. ~Get Your Files Here !/05 Cost-Sensitive Learning/010 Weighted Logistic Regression with Scikit-Learn.en.srt 3KB
  150. ~Get Your Files Here !/06 Projects/006 Model Evaluation With Scaled Inputs.en.srt 3KB
  151. ~Get Your Files Here !/04 Data Sampling/019 Edited Nearest Neighbors Rule for Undersampling (ENN).en.srt 3KB
  152. ~Get Your Files Here !/03 Model Evaluation/007 Accuracy Paradox.en.srt 3KB
  153. ~Get Your Files Here !/06 Projects/007 Model Evaluation With Power Transform.en.srt 3KB
  154. ~Get Your Files Here !/05 Cost-Sensitive Learning/015 Grid Search Weighted Decision Tree.en.srt 3KB
  155. ~Get Your Files Here !/05 Cost-Sensitive Learning/014 Weighted Decision Tree With Scikit-Learn.en.srt 3KB
  156. ~Get Your Files Here !/04 Data Sampling/013 Adaptive Synthetic Sampling (ADASYN).en.srt 3KB
  157. ~Get Your Files Here !/05 Cost-Sensitive Learning/018 Deep Learning for Imbalanced Classification.en.srt 3KB
  158. ~Get Your Files Here !/01 Introduction/007 Examples of Class Imbalance.en.srt 3KB
  159. ~Get Your Files Here !/05 Cost-Sensitive Learning/005 Cost-Sensitive Methods.en.srt 3KB
  160. ~Get Your Files Here !/06 Projects/002 Haberman Breast Cancer Survival Dataset.en.srt 2KB
  161. ~Get Your Files Here !/06 Projects/001 Project_ Breast Cancer Dataset.en.srt 2KB
  162. ~Get Your Files Here !/05 Cost-Sensitive Learning/007 Cost-Sensitive Ensembles.en.srt 2KB
  163. ~Get Your Files Here !/05 Cost-Sensitive Learning/011 Grid Search Weighted Logistic Regression.en.srt 2KB
  164. ~Get Your Files Here !/04 Data Sampling/001 Data Sampling Methods for Imbalanced Classification.en.srt 2KB
  165. ~Get Your Files Here !/05 Cost-Sensitive Learning/001 Cost-Sensitive Learning for Imbalanced Classification.en.srt 2KB
  166. ~Get Your Files Here !/04 Data Sampling/004 Combinations of Techniques.en.srt 2KB
  167. ~Get Your Files Here !/03 Model Evaluation/023 Probability Scoring Methods in Python.en.srt 2KB
  168. ~Get Your Files Here !/01 Introduction/002 Course Outcomes.en.srt 2KB
  169. ~Get Your Files Here !/03 Model Evaluation/026 Cross-Validation for Imbalanced Classification.en.srt 2KB
  170. ~Get Your Files Here !/05 Cost-Sensitive Learning/012 Cost-Sensitive Decision Trees for Imbalanced Classification.en.srt 2KB
  171. ~Get Your Files Here !/05 Cost-Sensitive Learning/016 Develop a Cost-Sensitive Neural Network for Imbalanced Classification.en.srt 2KB
  172. ~Get Your Files Here !/03 Model Evaluation/020 Precision-Recall Area Under Curve (AUC) Score.en.srt 2KB
  173. ~Get Your Files Here !/03 Model Evaluation/012 Demo_ Recall for Imbalanced Classification.en.srt 2KB
  174. ~Get Your Files Here !/04 Data Sampling/016 Near Miss Undersampling (NearMiss-2 and NearMiss-3).en.srt 2KB
  175. ~Get Your Files Here !/04 Data Sampling/014 Undersampling Methods.en.srt 2KB
  176. ~Get Your Files Here !/01 Introduction/001 Introduction.en.srt 1KB
  177. ~Get Your Files Here !/03 Model Evaluation/014 Demo_ F- Measure for Imbalanced Classification.en.srt 1KB
  178. ~Get Your Files Here !/Bonus Resources.txt 357B
  179. Get Bonus Downloads Here.url 183B