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. 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. A decision tree is a supervised learning algorithm used for both classification and regression tasks. It has a hierarchical tree structure which consists of a root node, branches, internal nodes and leaf nodes. It It works like a flowchart help to make decisions step by step where: Internal nodes represent attribute tests Branches represent attribute values Leaf nodes represent final decisions or predictions. Decision trees are widely used due to their interpretability, flexibility and low ...