INTERMEDIATE • ML Modeling Intermediate
Modeling Sprint: prevent data leakage #27
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.
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