decision-tree-regression

Description: Decision trees regression splits data into subsets to predict continuous values.

Key Points:

• Easy to interpret and visualize.
• Can handle both numerical and categorical data.
• Prone to overfitting without proper pruning.

Applications: Business forecasting, medical diagnosis, engineering.