Optimizing hyperparameters for machine learning models using Python #HyperparameterTuning

Hyperparameter Tunning. about Hyperparameter Tunning | by PRAVESH GREWAL | Python’s Gurus | Jun, 2024

The content discusses hyperparameter tuning in machine learning, distinguishing between model parameters and hyperparameters. It explains the process of hyperparameter optimization using Grid Search CV and Random Search CV. The article provides code examples for implementing Grid Search CV and Random Search CV using the SVC model and demonstrates how to find the best parameters and highest accuracy for a machine learning model. It concludes by highlighting the advantages and limitations of Random Search CV compared to Grid Search CV. The article emphasizes the importance of finding the best hyperparameters to optimize machine learning models effectively.

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