marcello-calabrese / ChurnRatePredictionNeuralNetwork

Prediction of the churn rate (abandon rate) of clients using Tensor Flow Neural Network

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ChurnRatePredictionNeuralNetwork

Neural Network model built through Keras Tensorflow to predict client churn of a Bank company

Action Plan:

  • Data understanding
  • Data Cleaning
  • Exploratory Data Analysis
  • Prepare Dataset for model building:
    • Take Care of categorical data
    • Data Scaling
    • Split data between features and label
  • Model Building:
    • Split between training and test set
    • Build Model using Keras Sequential API
    • Compile Keras Model
    • Train Model
    • Measure Model Performance
  • Predict Churn

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Prediction of the churn rate (abandon rate) of clients using Tensor Flow Neural Network

License:GNU General Public License v3.0


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