Hyperparameter Tuning with Python: Grid Search vs. Random Search? Which is Better?
This video is about how to tune the hyperparameters of a machine learning model using the scikit-learn library in Python. The video starts by explaining what hyperparameters are and how they differ from model parameters. The video then goes on to explain two different strategies for tuning hyperparameters: grid search and random search. The video then demonstrates how to use both of these strategies to tune the hyperparameters of a K-Nearest Neighbors classifier. The video concludes by showing how to use the best hyperparameters to make predictions on new data.
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Watch video Hyperparameter Tuning with Python: Grid Search vs. Random Search? Which is Better? online without registration, duration hours minute second in high quality. This video was added by user Prof. Phd. Manoel Gadi 02 December 2024, don't forget to share it with your friends and acquaintances, it has been viewed on our site 587 once and liked it 1 people.