Ensemble Models

Combining multiple machine learning models to make better predictions than any single model could achieve alone. It's like asking several experts for their opinion and taking the average - ensemble methods reduce errors and increase reliability. Popular techniques include random forests (combining many decision trees) and voting classifiers that let multiple models 'vote' on the final prediction.