Random Forest - Part 3 of Supervised Learning with Non-Linear Models

Explore the third part of the Supervised Learning with Non-Linear Models series focusing on Random Forest algorithms. In this 17-minute Launchpad tutorial, learn how Random Forests combine multiple decision trees to create a powerful ensemble learning method that improves prediction accuracy and reduces overfitting compared to individual decision trees. Understand the key concepts, implementation techniques, and practical applications of this popular machine learning algorithm used in classification and regression tasks.