In this hands-on workshop, you will build a complete machine learning pipeline—from raw data to model evaluation. You will learn to: Prepare and clean data using NumPy and Pandas; Handle missing values with imputation techniques; Apply data transformation methods for effective modeling; Train linear models with hyperparameter tuning; Use cross-validation to assess and improve model performance.