Decision tree in machine learning: Learn all about decision trees in machine

Learn all about decision trees in machine learning , including types, working, Python implementation, pruning, and tuning for better predictions. Decision Tree is a robust machine learning algorithm that also serves as the building block for other widely used and complicated machine learning algorithms like Random Forest, XGBoost, AdaBoost and LightGBM. You can imagine why it’s essential to learn about this topic! A Decision Tree helps us to make decisions by mapping out different choices and their possible outcomes. It’s used in machine learning for tasks like classification and prediction. In this article, we’ll see more about Decision Trees , their types and other core concepts. Learn how to use decision trees to classify or predict outcomes based on a set of rules. See examples, types, implementation, and assumptions of the algorithm.