Machine Learning Tutorial 6 - Decision Tree Classifier and Decision Tree Regression in Python

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In this video, we will learn about decision tree Machine learning in python. A decision tree is a flowchart-like tree structure where an internal node represents a feature, the branch represents a decision rule, and each leaf node represents the outcome. The topmost node in a decision tree is known as the root node. It learns to partition on the basis of the attribute value. It partitions the tree in a recursive manner called recursive partitioning. This flowchart-like structure helps you in decision making. It’s visualization like a flowchart diagram that easily mimics human-level thinking. That is why decision trees are easy to understand and interpret.

🔊 Watch till last for a detailed description
02:09 What is the decision tree?
06:42 Why the decision tree?
11:08 Attribute selection measures in the decision tree
15:36 Decision tree regressor
30:35 Decision tree as a classifier

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