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10.5 K-fold CV for Model Selection (L10: Model Evaluation 3)

Sebastian's books: https://sebastianraschka.com/books/

After talking about k-fold cross-validation for model *evaluation* in the last two videos, we are now going to talk about k-fold cross-validation for model *selection*, including hyperparameter tuning techniques such as grid search and randomized search.

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This video is part of my Introduction of Machine Learning course.

Next video: https://youtu.be/EqQ-Sb15CT8

The complete playlist: https://www.youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3

A handy overview page with links to the materials: https://sebastianraschka.com/blog/2021/ml-course.html

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If you want to be notified about future videos, please consider subscribing to my channel: https://youtube.com/c/SebastianRaschka

Видео 10.5 K-fold CV for Model Selection (L10: Model Evaluation 3) канала Sebastian Raschka
k-fold cross validation machine learning gridsearch randomized search
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21 ноября 2020 г. 4:30:50
00:17:28
Sebastian Raschka
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