Скачать или смотреть Grid search

The main idea of the video is to introduce grid search, a technique used to find the optimal hyperparameters for a machine learning model. Hyperparameters are settings that are not learned during the training process, such as the alpha value in Ridge regression. Grid search systematically tries different combinations of hyperparameter values, evaluates the model's performance for each combination & selects the combination that yields the best results. The video demonstrates how to perform grid search using the scikit-learn library in Python, focusing on the Ridge regression model & hyperparameters like alpha & normalization.