Date: Jun 14, 2025 | In this hands-on workshop, you will build a complete machine learning pipeline—from raw data to model evaluation. You’ll 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, and use cross-validation to assess and improve model performance.

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.