A data analysis and predictive modeling project focused on regression techniques. The workflow includes data cleaning, handling missing values, encoding categorical features, outlier treatment, and feature scaling. Multiple regression models—Simple, Multiple, Polynomial, Lasso, and Ridge—were implemented and evaluated to predict target values accurately.