INTERMEDIATE • ML Modeling Intermediate

Modeling Sprint: reduce business risk in predictions #22

This lesson focuses on reduce business risk in predictions using a practical retail demand forecasting scenario. You will apply commands: classification_report() | confusion_matrix() | train_test_split(). The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.