artificial-neural-network-business_case_study and Bank-Customer-Churn-Prediction

About artificial-neural-network-business_case_study

TatevKaren/artificial-neural-network-business_case_study

Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)

This project helps banks and financial institutions predict which customers are likely to leave, enabling proactive retention strategies. By analyzing customer characteristics (e.g., account history, demographics), it provides a probability score for each customer indicating their likelihood of churning. This helps risk analysts, marketing managers, and customer relationship managers identify and focus on at-risk customers.

About Bank-Customer-Churn-Prediction

ErayMericDev/Bank-Customer-Churn-Prediction

Predicting bank customer churn using Artificial Neural Networks (ANN) and Python.