What is Random Forest?

Ensemble of decision trees with bagging. Random Forest is a intermediate machine learning algorithm used for categorizing data into classes. Before learning Random Forest, you should understand: trees, combinatorics. Real-world applications include: Feature importance, Robust classification, Anomaly detection. This builds on foundational concepts and requires some background knowledge.