Regression Trees | Decision Trees Part 3

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 ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚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