This project implements a Random Forest classifier from scratch using Python. A Random Forest is an ensemble learning method that combines multiple decision trees to improve classification or ...

A random forest is an ensemble machine learning model which aims to reduce overfitting by training a "forest" of many decision trees each trained on a bootstrapped dataset using randomly sampled ...

Learn how to use random forests for natural language processing tasks in Python or R. Find out how to tune and evaluate your model, and how to improve it with some tips.