Data Science Snippets: Ensemble Models- Part 4 - Intro to Random Forests

Random Forest is an ensemble learning method that builds multiple decision trees and merges their results for more accurate and stable predictions.

In the previous posts, we introduced Decision Trees. We also understood the types of Decision Trees and the different ways in which they split. We also saw how a Decision Tree splits mathematically, and what pruning is. Let us now introduce Random Forests—a powerful Ensemble technique.

The Power of Ensembles in Machine Learning

In machine learning, streng…