Task 3 GRIP Prediction using Decision Tree Algorithm

Prediction using Decision Tree Algorithm
GRIP Internship Program
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Task: 3
Assigned by: The Sparks Foundation
Author: Defrino Gionaldo

Predict and Visualising using Decision Tree classifier
A decision tree is a flowchart-like tree structure where an internal node represents a feature (or attribute), 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 which easily mimics the human-level thinking. That is why decision trees are easy to understand and interpret.