A. Tree-based models have several advantages, including: - No need for feature scaling, unlike linear regression and logistic regression. - Ability to handle both numerical and categorical data. - Capability to capture non-linear relationships. - Flexibility to be combined into ensemble learning methods like Random Forests and Boosting techniques for enhanced predictive power and robustness.