A complete explanation of Random Forest Algorithm.

Ensemble learning is a technique where there is a joining of different types of algorithm or same types of algorithm and then it forms a more powerful regression and classification model. Here, in the random forest algorithm, it combines with multiple decision trees and forms a model. Because of its diversity and simplicity, it is one of the most used algorithms. It is used for both classification and regression problems.