In this edition, we will explore cross-validation strategies and how to put them to work using scikit-learn’s model_selection module. By the time you’re done, you’ll know when to reach for K-Fold versus StratifiedKFold, how to handle grouped data with GroupKFold, and why TimeSeriesSplit is the only safe option for time-based problems. We’ll also walk through practical Python examples in Microsoft Fabric so you can see these strategies in action and apply them right away.