Hyperparameter tuning in machine learning, including methods such as grid search, random search, and Bayesian optimization and providing code snippets to demonstrate how to use these techniques in practice.

Regression is a supervised learning algorithm used to predict continuous or real-valued outputs for given inputs, and is widely applied in a variety of fields to make accurate predictions.