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Verified signature# 🏦 Bank Customer Churn Prediction — Neural Network Classifier ## 🧩 Overview Customer churn is one of the most critical challenges faced by the banking and financial industry. It directly impacts long-term profitability, customer acquisition costs, and overall business growth. This project leverages **Deep Learning (Artificial Neural Networks)** to predict whether a customer is likely to leave the bank within the next 6 months. By identifying customers at risk of churn early, banks can take **proactive retention actions**, such as improving engagement, adjusting product offers, or providing personalized incentives. --- ## 🎯 Objective As a data scientist working for a retail bank, your goal is to build and evaluate a **Neural Network–based classifier** capable of predicting customer churn. The model helps answer the question: > “Which customers are most likely to leave the bank in the near future?” This insight empowers management teams to: - Target at-risk c…f980c93 -
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