Data Science Snippets: Ensemble Models- Part 5 - Deep dive into 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 saw how a Decision Tree splits mathematically, and what pruning is. We took a sneak peek at the Random Forests. Now, let us enter deep into Random Forests 😊

Individual trees in a random forest model must sati…