INTERMEDIATE • ML Modeling Intermediate

Feature Quality Checkpoint #3

This lesson focuses on prevent data leakage using a practical personalized recommendation prototype scenario. You will apply commands: Pipeline() | cross_val_score() | roc_auc_score(). The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.