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Verified signature# 💰 Bank Churn Prediction — AI for Smarter Customer Retention ## 🧩 Overview Businesses like banks which provide service have to worry about the problem of *Customer Churn*, i.e. customers leaving and joining another service provider. It is important to understand which aspects of the service influence a customer's decision in this regard. Management can concentrate efforts on improvement of service, keeping in mind these priorities. **Objective** You as a Data Scientist with the bank need to build a neural network–based classifier that can determine whether a customer will leave the bank or not in the next 6 months. --- ## 🤖 Model Details - **Model Type:** Feed-forward ANN (Artificial Neural Network) — Binary Classifier - **Framework:** TensorFlow / Keras - **Dataset:** Bank Customer Churn Dataset (10,000+ customers) - **Input:** Structured customer profile (credit score, age, balance, tenure, activity, salary, etc.) - **Output:** Binary churn prediction (`0 …b486442 -
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