Customer Churn Classifier

Summary

A binary classification project: predict whether a customer will churn — a business-relevant task that forces you to handle imbalanced classes and communicate results.

• 1Use a real churn dataset and handle class imbalance explicitly.
• 2Report precision/recall trade-offs, not just accuracy, since churn is usually imbalanced.
• 3Translate model output into a business recommendation (e.g. who to target for retention).