Name: | Udemy - Machine Learning with Imbalanced Data |
Description: 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 | |
YouTube Video: | |
Category: | Tutorials |
Language: | English |
Total Size: | 2.99 GB |
Info Hash: | D8A03A5D9B9812EEA1A075B50C937CC98127D06F |
Added By: | tutsnode |
Date Added: | 2021-01-23 13:17:05 |
Torrent Status: | Torrent Verified |
Ratings: | Not Yet Rated (Log in to rate it) |
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[TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/10. Borderline SMOTE.mp4 | 46.20 MB |
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[TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/16. Over-Sampling Method Comparison.mp4 | 39.77 MB |
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[TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/7. SMOTE-NC - Demo.mp4 | 21.43 MB |
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[TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/8. ADASYN.mp4 | 31.60 MB |
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[TutsNode.com] - Machine Learning with Imbalanced Data/6. Over and Undersampling/1. Combining Over and Under-sampling - Intro.mp4 | 36.90 MB |
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[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 |
[TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/8. Ensemble Methods - Demo.srt | 11.80 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/7. Ensemble Methods/9. Additional Reading Resources.html | 1.98 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.mp4 | 32.73 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/1. Cost-sensitive Learning - Intro.srt | 7.79 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/10. MetaCost.mp4 | 42.57 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/10. MetaCost.srt | 8.52 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/11. MetaCost - Demo.mp4 | 22.94 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/11. MetaCost - Demo.srt | 4.47 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/12. Optional MetaCost Base Code.mp4 | 36.92 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/12. Optional MetaCost Base Code.srt | 7.46 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/13. Additional Reading Resources.html | 1.97 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/2. Types of Cost.mp4 | 43.99 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/2. Types of Cost.srt | 12.06 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/3. Obtaining the Cost.mp4 | 18.96 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/3. Obtaining the Cost.srt | 4.55 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/4. Cost Sensitive Approaches.mp4 | 10.33 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/4. Cost Sensitive Approaches.srt | 1.83 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.mp4 | 18.69 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/5. Misclassification Cost in Logistic Regression.srt | 3.63 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.mp4 | 21.26 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/6. Misclassification Cost in Decision Trees.srt | 4.14 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.mp4 | 56.06 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/7. Cost Sensitive Learning with Scikit-learn- Demo.srt | 9.01 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.mp4 | 22.90 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/8. Find Optimal Cost with hyperparameter tuning.srt | 4.38 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/9. Bayes Conditional Risk.mp4 | 72.04 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/8. Cost Sensitive Learning/9. Bayes Conditional Risk.srt | 14.69 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/1. Probability Calibration.mp4 | 34.09 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/1. Probability Calibration.srt | 7.29 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.mp4 | 25.19 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/10. Calibrating a Classifier with Cost-sensitive Learning.srt | 4.58 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/11. Probability Additional reading resources.html | 931.00 B |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/2. Probability Calibration Curves.mp4 | 28.76 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/2. Probability Calibration Curves.srt | 6.66 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/3. Probability Calibration Curves - Demo.mp4 | 64.88 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/3. Probability Calibration Curves - Demo.srt | 11.50 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/4. Brier Score.mp4 | 17.15 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/4. Brier Score.srt | 3.66 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/5. Brier Score - Demo.mp4 | 49.02 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/5. Brier Score - Demo.srt | 8.83 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.mp4 | 29.58 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/6. Under- and Over-sampling and Cost-sensitive learning on Probability Calibration.srt | 6.24 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/7. Calibrating a Classifier.mp4 | 27.19 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/7. Calibrating a Classifier.srt | 5.89 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/8. Calibrating a Classifier - Demo.mp4 | 46.73 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/8. Calibrating a Classifier - Demo.srt | 7.27 kB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.mp4 | 52.00 MB |
[TutsNode.com] - Machine Learning with Imbalanced Data/9. Probability Calibration/9. Calibrating a Classfiier after SMOTE or Under-sampling.srt | 10.38 kB |