INTERMEDIATE • Feature Engineering Core
Modeling Sprint: increase reproducibility #27
This lesson focuses on increase reproducibility using a practical fraud detection baseline 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.
Premium Data Science Lesson
First 30 Data Science & AI lessons are free. Subscribe to unlock this lesson and all remaining lessons.