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  1. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.mp486.77 MB
  2. TutsNode.com.txt63 bytes
  3. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/23.1 Undersampling-Comparison.pdf205.54 KB
  4. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/4. Precision, Recall and F-measure.srt15.12 KB
  5. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/9. Bayes Conditional Risk.srt14.69 KB
  6. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/16.1 Link to Jupyter notebook.html177 bytes
  7. .pad/053 bytes
  8. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.mp480.33 MB
  9. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/4. Code Jupyter notebooks.html962 bytes
  10. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/5. Presentations covered in the course.html286 bytes
  11. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/6. Python package Imbalanced-learn.html699 bytes
  12. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/7. Download Datasets.html354 bytes
  13. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/8. Additional resources for Machine Learning and Python programming.html2.61 KB
  14. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/3. Random Under-Sampling - Demo.srt13.47 KB
  15. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.srt12.25 KB
  16. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.srt12.20 KB
  17. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/2. Types of Cost.srt12.06 KB
  18. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/8. Ensemble Methods - Demo.srt11.80 KB
  19. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/3. Probability Calibration Curves - Demo.srt11.50 KB
  20. [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/4. Additional Reading Resources (Optional).html1.04 KB
  21. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/5. Boosting.srt10.63 KB
  22. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/6. SMOTE-NC.srt10.39 KB
  23. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.srt10.38 KB
  24. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/4. SMOTE.srt10.02 KB
  25. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.srt9.62 KB
  26. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/10. Borderline SMOTE.srt9.30 KB
  27. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/22. Undersampling Method Comparison.srt9.29 KB
  28. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/13. Precision-Recall Curve.srt9.24 KB
  29. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/5. Install Yellowbrick.html684 bytes
  30. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/3. Course Material.srt2.36 KB
  31. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/5. Condensed Nearest Neighbours - Demo.srt9.16 KB
  32. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.srt9.01 KB
  33. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/5. Brier Score - Demo.srt8.83 KB
  34. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/10. MetaCost.srt8.52 KB
  35. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/11. ROC-AUC.srt8.34 KB
  36. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/4. Condensed Nearest Neighbours - Intro.srt8.32 KB
  37. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/6. Boosting plus Re-Sampling.srt7.99 KB
  38. [TGx]Downloaded from torrentgalaxy.to .txt585 bytes
  39. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.srt7.79 KB
  40. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/8. ADASYN.srt7.71 KB
  41. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/12. Optional MetaCost Base Code.srt7.46 KB
  42. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/7. Confusion tables, FPR and FNR.srt7.37 KB
  43. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/1. Probability Calibration.srt7.29 KB
  44. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/3. Accuracy - Demo.srt7.28 KB
  45. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/8. Calibrating a Classifier - Demo.srt7.27 KB
  46. [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.srt7.26 KB
  47. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/16. Over-Sampling Method Comparison.srt7.17 KB
  48. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/15. Additional reading resources (Optional).html1.60 KB
  49. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/2. Probability Calibration Curves.srt6.66 KB
  50. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/2. Random Under-Sampling - Intro.srt6.60 KB
  51. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/1. Under-Sampling Methods - Introduction.srt6.58 KB
  52. [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/3. Comparison of Over and Under-sampling Methods.srt6.54 KB
  53. [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.srt6.47 KB
  54. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.srt6.37 KB
  55. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/3. Random Over-Sampling - Demo.srt6.32 KB
  56. [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/2. Combining Over and Under-sampling - Demo.srt6.30 KB
  57. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.srt6.24 KB
  58. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/12. SVM SMOTE.srt6.06 KB
  59. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/14. K-Means SMOTE.srt6.02 KB
  60. [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.srt5.93 KB
  61. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/7. Calibrating a Classifier.srt5.89 KB
  62. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/16. Probability.srt5.54 KB
  63. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.srt5.42 KB
  64. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.srt5.42 KB
  65. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/10. Edited Nearest Neighbours - Intro.srt5.39 KB
  66. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/12. ROC-AUC - Demo.srt5.33 KB
  67. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/8. One Sided Selection - Intro.srt2.79 KB
  68. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/2. Accuracy.srt5.32 KB
  69. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/7. Hybdrid Methods.srt5.31 KB
  70. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/6. Tomek Links - Intro.srt5.30 KB
  71. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.srt5.24 KB
  72. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/11. Edited Nearest Neighbours - Demo.srt5.15 KB
  73. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.srt5.03 KB
  74. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/20. Instance Hardness Threshold - Intro.srt4.95 KB
  75. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/13. SVM SMOTE - Demo.srt4.86 KB
  76. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/21. Instance Hardness Threshold - Demo.srt4.85 KB
  77. [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.srt4.68 KB
  78. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/9. One Sided Selection - Demo.srt4.67 KB
  79. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.srt4.58 KB
  80. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/3. Obtaining the Cost.srt4.55 KB
  81. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/19. NearMiss - Demo.srt4.54 KB
  82. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/11. MetaCost - Demo.srt4.47 KB
  83. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/18. NearMiss - Intro.srt4.39 KB
  84. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.srt4.38 KB
  85. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.srt2.64 KB
  86. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/1. Over-Sampling Methods - Introduction.srt4.36 KB
  87. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/14. All KNN - Intro.srt4.31 KB
  88. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.srt4.14 KB
  89. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/7. Tomek Links - Demo.srt4.14 KB
  90. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/1. Introduction.srt4.04 KB
  91. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.srt3.90 KB
  92. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/15. K-Means SMOTE - Demo.srt3.90 KB
  93. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/2. Course Curriculum Overview.srt3.90 KB
  94. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/9. ADASYN - Demo.srt3.74 KB
  95. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/2. Random Over-Sampling.srt3.70 KB
  96. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/23. Summary Table.html140 bytes
  97. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/4. Brier Score.srt3.66 KB
  98. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.srt3.63 KB
  99. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/11. Borderline SMOTE - Demo.srt3.59 KB
  100. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/15. All KNN - Demo.srt3.56 KB
  101. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/14. Precision-Recall Curve - Demo.srt3.41 KB
  102. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/7. SMOTE-NC - Demo.srt3.33 KB
  103. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/1. Introduction to Performance Metrics.srt3.30 KB
  104. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/3. Bagging.srt3.20 KB
  105. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/2. Foundations of Ensemble Learning.srt3.19 KB
  106. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/5. SMOTE - Demo.srt3.17 KB
  107. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/9. Additional Reading Resources.html1.98 KB
  108. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/13. Additional Reading Resources.html1.97 KB
  109. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/4. Cost Sensitive Approaches.srt1.83 KB
  110. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/11. Probability Additional reading resources.html931 bytes
  111. [TutsNode.com] - Machine Learning with Imbalanced Data/10. Moving Forward/1. Next steps.html712 bytes
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  113. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/9. Bayes Conditional Risk.mp472.04 MB
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  119. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/4. Precision, Recall and F-measure.mp466.98 MB
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  125. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.mp456.06 MB
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  127. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/5. Condensed Nearest Neighbours - Demo.mp452.71 MB
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  129. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.mp452.00 MB
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  131. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.mp449.08 MB
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  145. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/10. Borderline SMOTE.mp446.20 MB
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  149. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/2. Types of Cost.mp443.99 MB
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  151. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.mp442.87 MB
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  153. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/10. MetaCost.mp442.57 MB
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  155. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/13. Precision-Recall Curve.mp440.50 MB
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  157. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/16. Over-Sampling Method Comparison.mp439.77 MB
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  163. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/12. Optional MetaCost Base Code.mp436.92 MB
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  165. [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.mp436.90 MB
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  171. [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.mp435.11 MB
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  175. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/1. Probability Calibration.mp434.09 MB
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  177. [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.mp433.30 MB
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  179. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.mp432.73 MB
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  201. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/2. Probability Calibration Curves.mp428.76 MB
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