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[FreeCourseSite.com] Udemy - Machine Learning with Imbalanced Data
magnet:?xt=urn:btih:dacde09eac2d17b68a03836303daeee0b6bf4bc6&dn=[FreeCourseSite.com] Udemy - Machine Learning with Imbalanced Data
磁力链接详情
Hash值:
dacde09eac2d17b68a03836303daeee0b6bf4bc6
点击数:
94
文件大小:
2.94 GB
文件数量:
91
创建日期:
2021-8-10 11:41
最后访问:
2024-5-23 08:40
访问标签:
FreeCourseSite
com
Udemy
-
Machine
Learning
with
Imbalanced
Data
文件列表详情
1. Introduction/1. Introduction.mp4 32.25 MB
1. Introduction/2. Course Curriculum Overview.mp4 17.54 MB
1. Introduction/3. Course Material.mp4 10.96 MB
2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.mp4 33.3 MB
2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.mp4 35.11 MB
2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.mp4 20.24 MB
3. Evaluation Metrics/1. Introduction to Performance Metrics.mp4 10.79 MB
3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.mp4 86.77 MB
3. Evaluation Metrics/11. ROC-AUC.mp4 39.25 MB
3. Evaluation Metrics/12. ROC-AUC - Demo.mp4 31.56 MB
3. Evaluation Metrics/13. Precision-Recall Curve.mp4 40.5 MB
3. Evaluation Metrics/14. Precision-Recall Curve - Demo.mp4 18.08 MB
3. Evaluation Metrics/16. Probability.mp4 20.64 MB
3. Evaluation Metrics/2. Accuracy.mp4 21.44 MB
3. Evaluation Metrics/3. Accuracy - Demo.mp4 47.61 MB
3. Evaluation Metrics/4. Precision, Recall and F-measure.mp4 66.98 MB
3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.mp4 80.33 MB
3. Evaluation Metrics/7. Confusion tables, FPR and FNR.mp4 29.72 MB
3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.mp4 49.08 MB
3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.mp4 23.06 MB
4. Udersampling/1. Under-Sampling Methods - Introduction.mp4 31.45 MB
4. Udersampling/10. Edited Nearest Neighbours - Intro.mp4 22.57 MB
4. Udersampling/11. Edited Nearest Neighbours - Demo.mp4 30.82 MB
4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.mp4 24.27 MB
4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.mp4 22.89 MB
4. Udersampling/14. All KNN - Intro.mp4 16.27 MB
4. Udersampling/15. All KNN - Demo.mp4 22.65 MB
4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.mp4 23.04 MB
4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.mp4 15.9 MB
4. Udersampling/18. NearMiss - Intro.mp4 17.18 MB
4. Udersampling/19. NearMiss - Demo.mp4 26.33 MB
4. Udersampling/2. Random Under-Sampling - Intro.mp4 25.62 MB
4. Udersampling/20. Instance Hardness Threshold - Intro.mp4 19.7 MB
4. Udersampling/21. Instance Hardness Threshold - Demo.mp4 30.54 MB
4. Udersampling/22. Undersampling Method Comparison.mp4 47.52 MB
4. Udersampling/3. Random Under-Sampling - Demo.mp4 66.91 MB
4. Udersampling/4. Condensed Nearest Neighbours - Intro.mp4 32.43 MB
4. Udersampling/5. Condensed Nearest Neighbours - Demo.mp4 52.71 MB
4. Udersampling/6. Tomek Links - Intro.mp4 18.97 MB
4. Udersampling/7. Tomek Links - Demo.mp4 23.98 MB
4. Udersampling/8. One Sided Selection - Intro.mp4 11.9 MB
4. Udersampling/9. One Sided Selection - Demo.mp4 25.59 MB
5. Oversampling/1. Over-Sampling Methods - Introduction.mp4 21.09 MB
5. Oversampling/10. Borderline SMOTE.mp4 46.2 MB
5. Oversampling/11. Borderline SMOTE - Demo.mp4 24.77 MB
5. Oversampling/12. SVM SMOTE.mp4 25.27 MB
5. Oversampling/13. SVM SMOTE - Demo.mp4 37.01 MB
5. Oversampling/14. K-Means SMOTE.mp4 27.6 MB
5. Oversampling/15. K-Means SMOTE - Demo.mp4 24.77 MB
5. Oversampling/16. Over-Sampling Method Comparison.mp4 39.77 MB
5. Oversampling/2. Random Over-Sampling.mp4 15.65 MB
5. Oversampling/3. Random Over-Sampling - Demo.mp4 35.2 MB
5. Oversampling/4. SMOTE.mp4 44.61 MB
5. Oversampling/5. SMOTE - Demo.mp4 18.38 MB
5. Oversampling/6. SMOTE-NC.mp4 48.03 MB
5. Oversampling/7. SMOTE-NC - Demo.mp4 21.43 MB
5. Oversampling/8. ADASYN.mp4 31.6 MB
5. Oversampling/9. ADASYN - Demo.mp4 20.95 MB
6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.mp4 36.9 MB
6. Over and Undersampling/2. Combining Over and Under-sampling - Demo.mp4 34.33 MB
6. Over and Undersampling/3. Comparison of Over and Under-sampling Methods.mp4 36.54 MB
7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.mp4 26.54 MB
7. Ensemble Methods/2. Foundations of Ensemble Learning.mp4 19.71 MB
7. Ensemble Methods/3. Bagging.mp4 18.19 MB
7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.mp4 42.87 MB
7. Ensemble Methods/5. Boosting.mp4 70.58 MB
7. Ensemble Methods/6. Boosting plus Re-Sampling.mp4 47.31 MB
7. Ensemble Methods/7. Hybdrid Methods.mp4 30.49 MB
7. Ensemble Methods/8. Ensemble Methods - Demo.mp4 70.85 MB
8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.mp4 32.73 MB
8. Cost Sensitive Learning/10. MetaCost.mp4 42.57 MB
8. Cost Sensitive Learning/11. MetaCost - Demo.mp4 22.94 MB
8. Cost Sensitive Learning/12. Optional MetaCost Base Code.mp4 36.92 MB
8. Cost Sensitive Learning/2. Types of Cost.mp4 43.99 MB
8. Cost Sensitive Learning/3. Obtaining the Cost.mp4 18.96 MB
8. Cost Sensitive Learning/4. Cost Sensitive Approaches.mp4 10.33 MB
8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.mp4 18.69 MB
8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.mp4 21.26 MB
8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.mp4 56.06 MB
8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.mp4 22.9 MB
8. Cost Sensitive Learning/9. Bayes Conditional Risk.mp4 72.04 MB
9. Probability Calibration/1. Probability Calibration.mp4 34.09 MB
9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.mp4 25.19 MB
9. Probability Calibration/2. Probability Calibration Curves.mp4 28.76 MB
9. Probability Calibration/3. Probability Calibration Curves - Demo.mp4 64.88 MB
9. Probability Calibration/4. Brier Score.mp4 17.15 MB
9. Probability Calibration/5. Brier Score - Demo.mp4 49.02 MB
9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.mp4 29.58 MB
9. Probability Calibration/7. Calibrating a Classifier.mp4 27.19 MB
9. Probability Calibration/8. Calibrating a Classifier - Demo.mp4 46.73 MB
9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.mp4 52 MB
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