How To Implement The Decision Tree Algorithm From Scratch In Python - Machine Learning Mastery

Decision trees are a powerful prediction method and extremely popular. They are popular because the final model is so easy to understand by practitioners and domain experts alike. The final decision tree can explain exactly why a specific prediction was made, making it very attractive for operational use. Decision trees also provide the foundation for more advanced ensemble methods such as bagging, random forests and gradient boosting. In this tutorial, you will discover how to implement the Classification And Regression Tree algorithm from scratch with Python. How To Implement The Decision Tree Algorithm From Scratch In Python Photo by Martin Cathrae, some rights reserved.