Regression Trees | Decision Trees Part 3
Channel: CampusX
Date: 2021-07-05

Regression Trees are a variation of Decision Trees used for predicting continuous numerical values. Instead of class labels, the nodes in a Regression Tree contain predicted values. The tree structure helps capture complex relationships in the data, making it a valuable tool for regression tasks where the goal is to predict numeric outcomes.

Code used: https://github.com/campusx-official/decision-trees/blob/master/regression_tree_example.ipynb

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⌚Time Stamps⌚

00:00 - Intro
01:58 - Best Fit Line
07:30 - Finding the splitting criteria
16:57 - Final Criteria
20:50 - Streamlit Web App
31:07 - Code Example
33:45 - Feature Importance