Details for: Udemy - Machine Learning with Imbalanced Data

Udemy - Machine Learning with Imbalanced Data

Type:

Video > Movies

Files:

289

Size:

2.99 GB (3206895963 Bytes)

Uploaded:

2021-01-23

By:

tuts756  

Seeders:

1

Leechers:

0

Info Hash:

D8A03A5D9B9812EEA1A075B50C937CC98127D06F

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Description Welcome to Machine Learning with Imbalanced Datasets. In this course, you will learn multiple techniques which you can use with imbalanced datasets to improve the performance of your machine learning models. If you are working with imbalanced datasets right now and want to improve the performance of your models, or you simply want to learn more about how to tackle data imbalance, this course will show you how. We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know about working with imbalanced datasets. Throughout this comprehensive course, we cover almost every available methodology to work with imbalanced datasets, discussing their logic, their implementation in Python, their advantages and shortcomings, and the considerations to have when using the technique. Specifically, you will learn: Under-sampling methods at random or focused on highlighting certain sample populations Over-sampling methods at random and those which create new examples based of existing observations Ensemble methods that leverage the power of multiple weak learners in conjunction with sampling techniques to boost model performance Cost sensitive methods which penalize wrong decisions more severely for minority classes The appropriate metrics to evaluate model performance on imbalanced datasets By the end of the course, you will be able to decide which technique is suitable for your dataset, and / or apply and compare the improvement in performance returned by the different methods on multiple datasets. This comprehensive machine learning course includes over 50 lectures spanning about 8 hours of video, and ALL topics include hands-on Python code examples which you can use for reference and for practice, and re-use in your own projects. In addition, the code is updated regularly to keep up with new trends and new Python library releases. So what are you waiting for? Enroll today, learn how to work with imbalanced datasets and build better machine learning models. Who this course is for: Data Scientists and Machine Learning engineers working with imbalanced datasets Requirements Knowledge of machine learning basic algorithms, i.e., regression, decision trees and nearest neighbours Python programming, including familiarity with NumPy, Pandas and Scikit-learn Last Updated 1/2021

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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
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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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115. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/8. Ensemble Methods - Demo.mp470.85 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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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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133. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/5. Brier Score - Demo.mp449.02 MB
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135. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/6. SMOTE-NC.mp448.03 MB
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137. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/3. Accuracy - Demo.mp447.61 MB
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139. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/22. Undersampling Method Comparison.mp447.52 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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159. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/11. ROC-AUC.mp439.25 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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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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181. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/4. Condensed Nearest Neighbours - Intro.mp432.43 MB
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183. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/1. Introduction.mp432.25 MB
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185. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/8. ADASYN.mp431.60 MB
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187. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/12. ROC-AUC - Demo.mp431.56 MB
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189. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/1. Under-Sampling Methods - Introduction.mp431.45 MB
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191. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/11. Edited Nearest Neighbours - Demo.mp430.82 MB
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193. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/21. Instance Hardness Threshold - Demo.mp430.54 MB
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195. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/7. Hybdrid Methods.mp430.49 MB
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197. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/7. Confusion tables, FPR and FNR.mp429.72 MB
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199. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.mp429.58 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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207. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.mp426.54 MB
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209. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/19. NearMiss - Demo.mp426.33 MB
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215. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/12. SVM SMOTE.mp425.27 MB
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217. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.mp425.19 MB
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219. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/15. K-Means SMOTE - Demo.mp424.77 MB
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221. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/11. Borderline SMOTE - Demo.mp424.77 MB
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223. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.mp424.27 MB
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225. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/7. Tomek Links - Demo.mp423.98 MB
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227. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.mp423.06 MB
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229. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.mp423.04 MB
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231. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/11. MetaCost - Demo.mp422.94 MB
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233. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.mp422.90 MB
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235. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.mp422.89 MB
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237. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/15. All KNN - Demo.mp422.65 MB
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239. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/10. Edited Nearest Neighbours - Intro.mp422.57 MB
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241. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/2. Accuracy.mp421.44 MB
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243. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/7. SMOTE-NC - Demo.mp421.43 MB
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245. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.mp421.26 MB
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247. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/1. Over-Sampling Methods - Introduction.mp421.09 MB
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249. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/9. ADASYN - Demo.mp420.95 MB
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251. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/16. Probability.mp420.64 MB
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253. [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.mp420.24 MB
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255. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/2. Foundations of Ensemble Learning.mp419.71 MB
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257. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/20. Instance Hardness Threshold - Intro.mp419.70 MB
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259. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/6. Tomek Links - Intro.mp418.97 MB
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261. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/3. Obtaining the Cost.mp418.96 MB
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263. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.mp418.69 MB
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265. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/5. SMOTE - Demo.mp418.38 MB
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267. [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/3. Bagging.mp418.19 MB
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269. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/14. Precision-Recall Curve - Demo.mp418.08 MB
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271. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/2. Course Curriculum Overview.mp417.54 MB
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273. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/18. NearMiss - Intro.mp417.18 MB
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275. [TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/4. Brier Score.mp417.15 MB
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277. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/14. All KNN - Intro.mp416.27 MB
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279. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.mp415.90 MB
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281. [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/2. Random Over-Sampling.mp415.65 MB
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283. [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/8. One Sided Selection - Intro.mp411.90 MB
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285. [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/3. Course Material.mp410.96 MB
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287. [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/1. Introduction to Performance Metrics.mp410.79 MB
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289. [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/4. Cost Sensitive Approaches.mp410.33 MB