AI Mastery - Module 6: Practical Machine Learning with Python
• Recap of the ML workflow in more depth.
• Basics of feature engineering: selecting and transforming input variables.
• Train–test split and cross-validation.
• Overfitting vs underfitting and the idea of regularization.