AI Lecture 13: Hyperparameter Tuning with SVR and Grid Search CV | Different Methods Explained

In this AI Lecture 13, we dive into the process of hyperparameter tuning for - -- Support Vector Regression (SVR).
Learn how to optimize your machine learning models using Grid Search Cross-Validation (CV) and explore various techniques for hyperparameter tuning.
We’ll explain the different methods in detail, from manual tuning to advanced techniques, ensuring you understand how to improve model performance effectively.