Hyperparameter Tuning

Optimize model performance by automatically selecting the best set of hyperparameters. Methods include:

• Grid Search: Exhaustive search over predefined parameter values.
• Random Search: Randomly sample parameter combinations to find optimal settings.
• Bayesian Optimization: Uses probabilistic models to find the best parameters efficiently.