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.
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Use this if you need to build or understand a model that predicts customer churn based on various customer attributes, especially within a banking context.
Not ideal if you're looking for a simple, out-of-the-box software solution; this is a case study with code and a paper that requires technical understanding to implement.
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May 04, 2021
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