ANN_Binary Classification_Churn Prediction

Customer Churn Prediction using ANN is a binary classification project that predicts whether a customer will leave a company or stay. The model analyzes features like tenure, balance, and contract type to identify churn patterns. It helps businesses improve customer retention and reduce revenue loss.

A robust Deep Learning pipeline for Bank Customer Churn prediction using Artificial Neural Networks (ANN). The project features comprehensive data preprocessing , and a Sequential Neural Network. The model achieves an impressive ~86% accuracy on training data and ~85.6% on test data, identifying high-risk customers through binary classification .