Udemy - Machine Learning with Imbalanced Data

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名前:	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動画:
カテゴリ:	Tutorials
言語:	English
合計サイズ:	2.99 GB
情報のハッシュ:	D8A03A5D9B9812EEA1A075B50C937CC98127D06F
を追加することによって:	tutsnode
追加日:	2021-01-23 13:17:05
トレントステータス:	Torrent Verified

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[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
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[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
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[TutsNode.com] - Machine Learning with Imbalanced Data/4. Udersampling/1. Under-Sampling Methods - Introduction.mp4	31.45 MB
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[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
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[TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/1. Over-Sampling Methods - Introduction.mp4	21.09 MB
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[TutsNode.com] - Machine Learning with Imbalanced Data/5. Oversampling/12. SVM SMOTE.mp4	25.27 MB
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[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

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Udemy - Machine Learning with Imbalanced Data