Extend your skills to regression tasks: train regression models, compute MSE and select the best approach for continuous targets.
Outcomes:
- Implement decision tree, random forest and linear regression for regression tasks.
- Calculate and interpret Mean Squared Error (MSE) to compare models.
- Select the most appropriate regression model based on error analysis and business context.
Tools you will practice with:
Scikit-learn • Python • Jupyter Notebook