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-Customer-Churn-Prediction-

  • Developed an artificial neural network model to predict customer churn

  • It enables a bank to better understand and address customer attrition.

  • Used Python, scikit-learn, and Keras to pre-process the data and train the model.
  • The model has an accuracy of 80%

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