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This project uses an Artificial Neural Network (ANN) to predict customer churn based on input features such as Geography, Gender, Age, Balance, CreditScore, EstimatedSalary, Tenure, Number of Products, HasCreditCard, and IsActiveMember. The model classifies whether a customer is likely to churn or stay.
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Merge branch 'master' of https://github.com/NickBwalley/ANN-Classification-Customer-Churn-Prediction
d908961View on GitHubTBD: this hyperparamtuning helps you to decide the optimal no of hidden layers and neurons for your ANN
38e6b88View on GitHubTBD: regression problem predicting customer salary expectation
f3f5cf4View on GitHub