INTERMEDIATE • Feature Engineering Core

Modeling Sprint: reduce training instability #2

This lesson focuses on reduce training instability using a practical customer churn prediction scenario. You will apply commands: train_test_split() | GridSearchCV() | classification_report(). The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.