Customer churn — when a user stops using a service — is a major concern for businesses in competitive markets. In the financial sector, understanding which customers are likely to leave can help banks take proactive measures to retain them.

In this competition, your task is to predict whether a credit card customer will churn based on their financial activity and demographics. You'll be working with real-world inspired data, including transaction patterns, account info, and customer profiles.

This challenge will test your skills in:

Binary classification

Handling imbalanced datasets

Extracting insight from structured tabular data

Can you build a model that helps banks stay ahead of customer attrition?

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