Comparing Decision Tree Algorithms: Random Forest vs. XGBoost

This tutorial walks you through a comparison of XGBoost and Random Forest, two popular decision tree algorithms, and helps you identify the best use cases for ensemble techniques like bagging and boosting. By following the tutorial, you'll learn: Understanding the benefits of bagging and boosting--and knowing when to use which technique--will lead to less variance, lower bias, and more stability in your machine learning models.