[**Random Forest**](https://en.wikipedia.org/wiki/Random_forest) is an ensemble machine learning method that builds many decision trees and aggregates their results for better generalization. It’s robust, interpretable, handles high-dimensional data well, and works for both **classification** and **regression**.