Name [FreeCourseSite.com] Udemy - Machine Learning with Imbalanced Data

File Type video

Size 2.95GB

UpdateDate 2024-11-30

hash *****09EAC2D17B68A03836303DAEEE0B6BF4BC

Hot 4

Files 0. Websites you may like/[CourseClub.ME].url | 122B 0. Websites you may like/[FCS Forum].url | 133B 0. Websites you may like/[FreeCourseSite.com].url | 127B 1. Introduction/1. Introduction.mp4 | 32.25MB 1. Introduction/1. Introduction.srt | 4.04KB 1. Introduction/2. Course Curriculum Overview.mp4 | 17.54MB 1. Introduction/2. Course Curriculum Overview.srt | 3.90KB 1. Introduction/3. Course Material.mp4 | 10.96MB 1. Introduction/3. Course Material.srt | 2.36KB 1. Introduction/4. Code Jupyter notebooks.html | 962B 1. Introduction/5. Presentations covered in the course.html | 286B 1. Introduction/6. Python package Imbalanced-learn.html | 699B 1. Introduction/7. Download Datasets.html | 354B 1. Introduction/8. Additional resources for Machine Learning and Python programming.html | 2.61KB 10. Moving Forward/1. Next steps.html | 712B 2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.mp4 | 33.30MB 2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.srt | 6.47KB 2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.mp4 | 35.11MB 2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.srt | 5.93KB 2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.mp4 | 20.24MB 2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.srt | 4.68KB 2. Machine Learning with Imbalanced Data Overview/4. Additional Reading Resources (Optional).html | 1.04KB 3. Evaluation Metrics/1. Introduction to Performance Metrics.mp4 | 10.79MB 3. Evaluation Metrics/1. Introduction to Performance Metrics.srt | 3.30KB 3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.mp4 | 86.77MB 3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.srt | 12.25KB 3. Evaluation Metrics/11. ROC-AUC.mp4 | 39.25MB 3. Evaluation Metrics/11. ROC-AUC.srt | 8.34KB 3. Evaluation Metrics/12. ROC-AUC - Demo.mp4 | 31.56MB 3. Evaluation Metrics/12. ROC-AUC - Demo.srt | 5.33KB 3. Evaluation Metrics/13. Precision-Recall Curve.mp4 | 40.50MB 3. Evaluation Metrics/13. Precision-Recall Curve.srt | 9.24KB 3. Evaluation Metrics/14. Precision-Recall Curve - Demo.mp4 | 18.08MB 3. Evaluation Metrics/14. Precision-Recall Curve - Demo.srt | 3.41KB 3. Evaluation Metrics/15. Additional reading resources (Optional).html | 1.60KB 3. Evaluation Metrics/16. Probability.mp4 | 20.64MB 3. Evaluation Metrics/16. Probability.srt | 5.54KB 3. Evaluation Metrics/16.1 Link to Jupyter notebook.html | 177B 3. Evaluation Metrics/2. Accuracy.mp4 | 21.44MB 3. Evaluation Metrics/2. Accuracy.srt | 5.32KB 3. Evaluation Metrics/3. Accuracy - Demo.mp4 | 47.61MB 3. Evaluation Metrics/3. Accuracy - Demo.srt | 7.28KB 3. Evaluation Metrics/4. Precision, Recall and F-measure.mp4 | 66.98MB 3. Evaluation Metrics/4. Precision, Recall and F-measure.srt | 15.12KB 3. Evaluation Metrics/5. Install Yellowbrick.html | 684B 3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.mp4 | 80.33MB 3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.srt | 12.20KB 3. Evaluation Metrics/7. Confusion tables, FPR and FNR.mp4 | 29.72MB 3. Evaluation Metrics/7. Confusion tables, FPR and FNR.srt | 7.37KB 3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.mp4 | 49.08MB 3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.srt | 9.62KB 3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.mp4 | 23.06MB 3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.srt | 5.24KB 4. Udersampling/1. Under-Sampling Methods - Introduction.mp4 | 31.45MB 4. Udersampling/1. Under-Sampling Methods - Introduction.srt | 6.58KB 4. Udersampling/10. Edited Nearest Neighbours - Intro.mp4 | 22.57MB 4. Udersampling/10. Edited Nearest Neighbours - Intro.srt | 5.39KB 4. Udersampling/11. Edited Nearest Neighbours - Demo.mp4 | 30.82MB 4. Udersampling/11. Edited Nearest Neighbours - Demo.srt | 5.15KB 4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.mp4 | 24.27MB 4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.srt | 5.42KB 4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.mp4 | 22.89MB 4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.srt | 3.90KB 4. Udersampling/14. All KNN - Intro.mp4 | 16.27MB 4. Udersampling/14. All KNN - Intro.srt | 4.31KB 4. Udersampling/15. All KNN - Demo.mp4 | 22.65MB 4. Udersampling/15. All KNN - Demo.srt | 3.56KB 4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.mp4 | 23.04MB 4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.srt | 5.03KB 4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.mp4 | 15.90MB 4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.srt | 2.64KB 4. Udersampling/18. NearMiss - Intro.mp4 | 17.18MB 4. Udersampling/18. NearMiss - Intro.srt | 4.39KB 4. Udersampling/19. NearMiss - Demo.mp4 | 26.33MB 4. Udersampling/19. NearMiss - Demo.srt | 4.54KB 4. Udersampling/2. Random Under-Sampling - Intro.mp4 | 25.62MB 4. Udersampling/2. Random Under-Sampling - Intro.srt | 6.60KB 4. Udersampling/20. Instance Hardness Threshold - Intro.mp4 | 19.70MB 4. Udersampling/20. Instance Hardness Threshold - Intro.srt | 4.95KB 4. Udersampling/21. Instance Hardness Threshold - Demo.mp4 | 30.54MB 4. Udersampling/21. Instance Hardness Threshold - Demo.srt | 4.85KB 4. Udersampling/22. Undersampling Method Comparison.mp4 | 47.52MB 4. Udersampling/22. Undersampling Method Comparison.srt | 9.29KB 4. Udersampling/23. Summary Table.html | 140B 4. Udersampling/23.1 Undersampling-Comparison.pdf | 205.54KB 4. Udersampling/3. Random Under-Sampling - Demo.mp4 | 66.91MB 4. Udersampling/3. Random Under-Sampling - Demo.srt | 13.47KB 4. Udersampling/4. Condensed Nearest Neighbours - Intro.mp4 | 32.43MB 4. Udersampling/4. Condensed Nearest Neighbours - Intro.srt | 8.32KB 4. Udersampling/5. Condensed Nearest Neighbours - Demo.mp4 | 52.71MB 4. Udersampling/5. Condensed Nearest Neighbours - Demo.srt | 9.16KB 4. Udersampling/6. Tomek Links - Intro.mp4 | 18.97MB 4. Udersampling/6. Tomek Links - Intro.srt | 5.30KB 4. Udersampling/7. Tomek Links - Demo.mp4 | 23.98MB 4. Udersampling/7. Tomek Links - Demo.srt | 4.14KB 4. Udersampling/8. One Sided Selection - Intro.mp4 | 11.90MB 4. Udersampling/8. One Sided Selection - Intro.srt | 2.79KB 4. Udersampling/9. One Sided Selection - Demo.mp4 | 25.59MB 4. Udersampling/9. One Sided Selection - Demo.srt | 4.67KB 5. Oversampling/1. Over-Sampling Methods - Introduction.mp4 | 21.09MB 5. Oversampling/1. Over-Sampling Methods - Introduction.srt | 4.36KB 5. Oversampling/10. Borderline SMOTE.mp4 | 46.20MB 5. Oversampling/10. Borderline SMOTE.srt | 9.30KB 5. Oversampling/11. Borderline SMOTE - Demo.mp4 | 24.77MB 5. Oversampling/11. Borderline SMOTE - Demo.srt | 3.59KB 5. Oversampling/12. SVM SMOTE.mp4 | 25.27MB 5. Oversampling/12. SVM SMOTE.srt | 6.06KB 5. Oversampling/13. SVM SMOTE - Demo.mp4 | 37.01MB 5. Oversampling/13. SVM SMOTE - Demo.srt | 4.86KB 5. Oversampling/14. K-Means SMOTE.mp4 | 27.60MB 5. Oversampling/14. K-Means SMOTE.srt | 6.02KB 5. Oversampling/15. K-Means SMOTE - Demo.mp4 | 24.77MB 5. Oversampling/15. K-Means SMOTE - Demo.srt | 3.90KB 5. Oversampling/16. Over-Sampling Method Comparison.mp4 | 39.77MB 5. Oversampling/16. Over-Sampling Method Comparison.srt | 7.17KB 5. Oversampling/2. Random Over-Sampling.mp4 | 15.65MB 5. Oversampling/2. Random Over-Sampling.srt | 3.70KB 5. Oversampling/3. Random Over-Sampling - Demo.mp4 | 35.20MB 5. Oversampling/3. Random Over-Sampling - Demo.srt | 6.32KB 5. Oversampling/4. SMOTE.mp4 | 44.61MB 5. Oversampling/4. SMOTE.srt | 10.02KB 5. Oversampling/5. SMOTE - Demo.mp4 | 18.38MB 5. Oversampling/5. SMOTE - Demo.srt | 3.17KB 5. Oversampling/6. SMOTE-NC.mp4 | 48.03MB 5. Oversampling/6. SMOTE-NC.srt | 10.39KB 5. Oversampling/7. SMOTE-NC - Demo.mp4 | 21.43MB 5. Oversampling/7. SMOTE-NC - Demo.srt | 3.33KB 5. Oversampling/8. ADASYN.mp4 | 31.60MB 5. Oversampling/8. ADASYN.srt | 7.71KB 5. Oversampling/9. ADASYN - Demo.mp4 | 20.95MB 5. Oversampling/9. ADASYN - Demo.srt | 3.74KB 6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.mp4 | 36.90MB 6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.srt | 7.26KB 6. Over and Undersampling/2. Combining Over and Under-sampling - Demo.mp4 | 34.33MB 6. Over and Undersampling/2. Combining Over and Under-sampling - Demo.srt | 6.30KB 6. Over and Undersampling/3. Comparison of Over and Under-sampling Methods.mp4 | 36.54MB 6. Over and Undersampling/3. Comparison of Over and Under-sampling Methods.srt | 6.54KB 7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.mp4 | 26.54MB 7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.srt | 5.42KB 7. Ensemble Methods/2. Foundations of Ensemble Learning.mp4 | 19.71MB 7. Ensemble Methods/2. Foundations of Ensemble Learning.srt | 3.19KB 7. Ensemble Methods/3. Bagging.mp4 | 18.19MB 7. Ensemble Methods/3. Bagging.srt | 3.20KB 7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.mp4 | 42.87MB 7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.srt | 6.37KB 7. Ensemble Methods/5. Boosting.mp4 | 70.58MB 7. Ensemble Methods/5. Boosting.srt | 10.63KB 7. Ensemble Methods/6. Boosting plus Re-Sampling.mp4 | 47.31MB 7. Ensemble Methods/6. Boosting plus Re-Sampling.srt | 7.99KB 7. Ensemble Methods/7. Hybdrid Methods.mp4 | 30.49MB 7. Ensemble Methods/7. Hybdrid Methods.srt | 5.31KB 7. Ensemble Methods/8. Ensemble Methods - Demo.mp4 | 70.85MB 7. Ensemble Methods/8. Ensemble Methods - Demo.srt | 11.80KB 7. Ensemble Methods/9. Additional Reading Resources.html | 1.98KB 8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.mp4 | 32.73MB 8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.srt | 7.79KB 8. Cost Sensitive Learning/10. MetaCost.mp4 | 42.57MB 8. Cost Sensitive Learning/10. MetaCost.srt | 8.52KB 8. Cost Sensitive Learning/11. MetaCost - Demo.mp4 | 22.94MB 8. Cost Sensitive Learning/11. MetaCost - Demo.srt | 4.47KB 8. Cost Sensitive Learning/12. Optional MetaCost Base Code.mp4 | 36.92MB 8. Cost Sensitive Learning/12. Optional MetaCost Base Code.srt | 7.46KB 8. Cost Sensitive Learning/13. Additional Reading Resources.html | 1.97KB 8. Cost Sensitive Learning/2. Types of Cost.mp4 | 43.99MB 8. Cost Sensitive Learning/2. Types of Cost.srt | 12.06KB 8. Cost Sensitive Learning/3. Obtaining the Cost.mp4 | 18.96MB 8. Cost Sensitive Learning/3. Obtaining the Cost.srt | 4.55KB 8. Cost Sensitive Learning/4. Cost Sensitive Approaches.mp4 | 10.33MB 8. Cost Sensitive Learning/4. Cost Sensitive Approaches.srt | 1.83KB 8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.mp4 | 18.69MB 8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.srt | 3.63KB 8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.mp4 | 21.26MB 8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.srt | 4.14KB 8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.mp4 | 56.06MB 8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.srt | 9.01KB 8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.mp4 | 22.90MB 8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.srt | 4.38KB 8. Cost Sensitive Learning/9. Bayes Conditional Risk.mp4 | 72.04MB 8. Cost Sensitive Learning/9. Bayes Conditional Risk.srt | 14.69KB 9. Probability Calibration/1. Probability Calibration.mp4 | 34.09MB 9. Probability Calibration/1. Probability Calibration.srt | 7.29KB 9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.mp4 | 25.19MB 9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.srt | 4.58KB 9. Probability Calibration/11. Probability Additional reading resources.html | 931B 9. Probability Calibration/2. Probability Calibration Curves.mp4 | 28.76MB 9. Probability Calibration/2. Probability Calibration Curves.srt | 6.66KB 9. Probability Calibration/3. Probability Calibration Curves - Demo.mp4 | 64.88MB 9. Probability Calibration/3. Probability Calibration Curves - Demo.srt | 11.50KB 9. Probability Calibration/4. Brier Score.mp4 | 17.15MB 9. Probability Calibration/4. Brier Score.srt | 3.66KB 9. Probability Calibration/5. Brier Score - Demo.mp4 | 49.02MB 9. Probability Calibration/5. Brier Score - Demo.srt | 8.83KB 9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.mp4 | 29.58MB 9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.srt | 6.24KB 9. Probability Calibration/7. Calibrating a Classifier.mp4 | 27.19MB 9. Probability Calibration/7. Calibrating a Classifier.srt | 5.89KB 9. Probability Calibration/8. Calibrating a Classifier - Demo.mp4 | 46.73MB 9. Probability Calibration/8. Calibrating a Classifier - Demo.srt | 7.27KB 9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.mp4 | 52.00MB 9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.srt | 10.38KB