What are Ensemble Methods?

Ensemble Methods are machine learning techniques that combine multiple models (often called "weak learners") to produce a single, more accurate and robust prediction than any individual model could achieve alone. By aggregating diverse models, you can reduce errors, minimize overfitting, and improve overall performance.