Decision tree in machine learning: Learn what decision trees are and

Learn what decision trees are and how they are used for classification and regression modeling in machine learning . Explore the two types of decision trees, see examples, and find guided projects to practice your skills. 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! Learn all about decision trees in machine learning , including types, working, Python implementation, pruning, and tuning for better predictions. What is Tree -based Algorithms? Tree -based algorithms are a class of supervised machine learning models that construct decision trees to typically partition the feature space into regions, enabling a hierarchical representation of complex relationships between input variables and output labels.