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23-01-2021 05:17
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| TutsNode.com.txt | 63.00 B |
| [TGx]Downloaded from torrentgalaxy.to .txt | 585.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/1. Introduction.mp4 | 32.25 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/1. Introduction.srt | 4.04 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/2. Course Curriculum Overview.mp4 | 17.54 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/2. Course Curriculum Overview.srt | 3.90 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/3. Course Material.mp4 | 10.96 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/3. Course Material.srt | 2.36 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/4. Code Jupyter notebooks.html | 962.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/5. Presentations covered in the course.html | 286.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/6. Python package Imbalanced-learn.html | 699.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/7. Download Datasets.html | 354.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/1. Introduction/8. Additional resources for Machine Learning and Python programming.html | 2.61 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/10. Moving Forward/1. Next steps.html | 712.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.mp4 | 33.30 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/1. Imbalanced classes - Introduction.srt | 6.47 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.mp4 | 35.11 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/2. Nature of the imbalanced class.srt | 5.93 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.mp4 | 20.24 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/3. Approaches to work with imbalanced datasets - Overview.srt | 4.68 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/2. Machine Learning with Imbalanced Data Overview/4. Additional Reading Resources (Optional).html | 1.04 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/1. Introduction to Performance Metrics.mp4 | 10.79 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/1. Introduction to Performance Metrics.srt | 3.30 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.mp4 | 86.77 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/10. Geometric Mean, Dominance, Index of Imbalanced Accuracy - Demo.srt | 12.25 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/11. ROC-AUC.mp4 | 39.25 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/11. ROC-AUC.srt | 8.34 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/12. ROC-AUC - Demo.mp4 | 31.56 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/12. ROC-AUC - Demo.srt | 5.33 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/13. Precision-Recall Curve.mp4 | 40.50 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/13. Precision-Recall Curve.srt | 9.24 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/14. Precision-Recall Curve - Demo.mp4 | 18.08 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/14. Precision-Recall Curve - Demo.srt | 3.41 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/15. Additional reading resources (Optional).html | 1.60 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/16. Probability.mp4 | 20.64 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/16. Probability.srt | 5.54 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/16.1 Link to Jupyter notebook.html | 177.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/2. Accuracy.mp4 | 21.44 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/2. Accuracy.srt | 5.32 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/3. Accuracy - Demo.mp4 | 47.61 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/3. Accuracy - Demo.srt | 7.28 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/4. Precision, Recall and F-measure.mp4 | 66.98 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/4. Precision, Recall and F-measure.srt | 15.12 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/5. Install Yellowbrick.html | 684.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.mp4 | 80.33 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/6. Precision, Recall and F-measure - Demo.srt | 12.20 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/7. Confusion tables, FPR and FNR.mp4 | 29.72 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/7. Confusion tables, FPR and FNR.srt | 7.37 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.mp4 | 49.08 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/8. Confusion tables, FPR and FNR - Demo.srt | 9.62 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.mp4 | 23.06 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/3. Evaluation Metrics/9. Geometric Mean, Dominance, Index of Imbalanced Accuracy.srt | 5.24 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/1. Under-Sampling Methods - Introduction.mp4 | 31.45 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/1. Under-Sampling Methods - Introduction.srt | 6.58 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/10. Edited Nearest Neighbours - Intro.mp4 | 22.57 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/10. Edited Nearest Neighbours - Intro.srt | 5.39 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/11. Edited Nearest Neighbours - Demo.mp4 | 30.82 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/11. Edited Nearest Neighbours - Demo.srt | 5.15 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.mp4 | 24.27 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/12. Repeated Edited Nearest Neighbours - Intro.srt | 5.42 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.mp4 | 22.89 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/13. Repeated Edited Nearest Neighbours - Demo.srt | 3.90 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/14. All KNN - Intro.mp4 | 16.27 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/14. All KNN - Intro.srt | 4.31 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/15. All KNN - Demo.mp4 | 22.65 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/15. All KNN - Demo.srt | 3.56 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.mp4 | 23.04 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/16. Neighbourhood Cleaning Rule - Intro.srt | 5.03 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.mp4 | 15.90 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/17. Neighbourhood Cleaning Rule - Demo.srt | 2.64 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/18. NearMiss - Intro.mp4 | 17.18 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/18. NearMiss - Intro.srt | 4.39 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/19. NearMiss - Demo.mp4 | 26.33 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/19. NearMiss - Demo.srt | 4.54 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/2. Random Under-Sampling - Intro.mp4 | 25.62 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/2. Random Under-Sampling - Intro.srt | 6.60 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/20. Instance Hardness Threshold - Intro.mp4 | 19.70 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/20. Instance Hardness Threshold - Intro.srt | 4.95 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/21. Instance Hardness Threshold - Demo.mp4 | 30.54 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/21. Instance Hardness Threshold - Demo.srt | 4.85 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/22. Undersampling Method Comparison.mp4 | 47.52 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/22. Undersampling Method Comparison.srt | 9.29 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/23. Summary Table.html | 140.00 B |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/23.1 Undersampling-Comparison.pdf | 205.54 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/3. Random Under-Sampling - Demo.mp4 | 66.91 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/3. Random Under-Sampling - Demo.srt | 13.47 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/4. Condensed Nearest Neighbours - Intro.mp4 | 32.43 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/4. Condensed Nearest Neighbours - Intro.srt | 8.32 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/5. Condensed Nearest Neighbours - Demo.mp4 | 52.71 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/5. Condensed Nearest Neighbours - Demo.srt | 9.16 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/6. Tomek Links - Intro.mp4 | 18.97 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/6. Tomek Links - Intro.srt | 5.30 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/7. Tomek Links - Demo.mp4 | 23.98 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/7. Tomek Links - Demo.srt | 4.14 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/8. One Sided Selection - Intro.mp4 | 11.90 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/8. One Sided Selection - Intro.srt | 2.79 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/9. One Sided Selection - Demo.mp4 | 25.59 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/9. One Sided Selection - Demo.srt | 4.67 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/1. Over-Sampling Methods - Introduction.mp4 | 21.09 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/1. Over-Sampling Methods - Introduction.srt | 4.36 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/10. Borderline SMOTE.mp4 | 46.20 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/10. Borderline SMOTE.srt | 9.30 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/11. Borderline SMOTE - Demo.mp4 | 24.77 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/11. Borderline SMOTE - Demo.srt | 3.59 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/12. SVM SMOTE.mp4 | 25.27 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/12. SVM SMOTE.srt | 6.06 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/13. SVM SMOTE - Demo.mp4 | 37.01 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/13. SVM SMOTE - Demo.srt | 4.86 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/14. K-Means SMOTE.mp4 | 27.60 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/14. K-Means SMOTE.srt | 6.02 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/15. K-Means SMOTE - Demo.mp4 | 24.77 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/15. K-Means SMOTE - Demo.srt | 3.90 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/16. Over-Sampling Method Comparison.mp4 | 39.77 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/16. Over-Sampling Method Comparison.srt | 7.17 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/2. Random Over-Sampling.mp4 | 15.65 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/2. Random Over-Sampling.srt | 3.70 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/3. Random Over-Sampling - Demo.mp4 | 35.20 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/3. Random Over-Sampling - Demo.srt | 6.32 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/4. SMOTE.mp4 | 44.61 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/4. SMOTE.srt | 10.02 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/5. SMOTE - Demo.mp4 | 18.38 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/5. SMOTE - Demo.srt | 3.17 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/6. SMOTE-NC.mp4 | 48.03 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/6. SMOTE-NC.srt | 10.39 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/7. SMOTE-NC - Demo.mp4 | 21.43 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/7. SMOTE-NC - Demo.srt | 3.33 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/8. ADASYN.mp4 | 31.60 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/8. ADASYN.srt | 7.71 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/9. ADASYN - Demo.mp4 | 20.95 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/9. ADASYN - Demo.srt | 3.74 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.mp4 | 36.90 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.srt | 7.26 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/2. Combining Over and Under-sampling - Demo.mp4 | 34.33 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/2. Combining Over and Under-sampling - Demo.srt | 6.30 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/3. Comparison of Over and Under-sampling Methods.mp4 | 36.54 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/3. Comparison of Over and Under-sampling Methods.srt | 6.54 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.mp4 | 26.54 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/1. Ensemble methods with Imbalanced Data.srt | 5.42 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/2. Foundations of Ensemble Learning.mp4 | 19.71 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/2. Foundations of Ensemble Learning.srt | 3.19 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/3. Bagging.mp4 | 18.19 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/3. Bagging.srt | 3.20 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.mp4 | 42.87 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/4. Bagging plus Over- or Under-Sampling.srt | 6.37 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/5. Boosting.mp4 | 70.58 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/5. Boosting.srt | 10.63 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/6. Boosting plus Re-Sampling.mp4 | 47.31 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/6. Boosting plus Re-Sampling.srt | 7.99 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/7. Hybdrid Methods.mp4 | 30.49 MB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/7. Hybdrid Methods.srt | 5.31 kB |
| [TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/8. Ensemble Methods - Demo.mp4 | 70.85 MB |
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| [TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.mp4 | 32.73 MB |
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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