Random Forest Classifier and Regressor Machine Learning KGP Talkie

Random forest is a type of supervised machine learning algorithm based on ensemble learning. Ensemble learning is a type of learning where you join different types of algorithms or the same algorithm multiple times to form a more powerful prediction model. The random forest algorithm combines multiple algorithms of the same type i. e. multiple decision trees, resulting in a forest of trees, hence the name Random Forest. The random forest algorithm can be used for both regression and classification tasks.