ml_model and data visualization using python

Performed data cleaning and preprocessing including handling missing values, outliers, feature engineering, and feature scaling to improve model performance.

Trained and evaluated multiple regression models (Linear, Ridge, Lasso, Decision Tree, Random Forest) using MAE, MSE, RMSE, and R², and optimized the best model through hyperparameter tuning.