https://github.com/krisharul26/bank-customer-churn-prediction-using-dnn-with-hyperparameter-tuning

How to Started With ANN using TensorFlow 2.0, Feature selection, Different type of optimizer and activation function, Sampling techniques
https://github.com/krisharul26/bank-customer-churn-prediction-using-dnn-with-hyperparameter-tuning

Last synced: 7 months ago
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How to Started With ANN using TensorFlow 2.0, Feature selection, Different type of optimizer and activation function, Sampling techniques

• Host: GitHub
• URL: https://github.com/krisharul26/bank-customer-churn-prediction-using-dnn-with-hyperparameter-tuning
• Owner: KrishArul26
• Created: 2021-03-25T07:09:48.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-05-19T06:27:41.000Z (over 4 years ago)
• Last Synced: 2025-01-04T18:26:02.659Z (9 months ago)
• Language: Jupyter Notebook
• Size: 174 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Bank-Customer-Churn-Prediction-using-Deep neural network with Hyperparameter tuning 

In this notebook I have done, How to Started With ANN using TensorFlow 2.0, EDA, Feature selection and how to develop DNN for classification problems.

Also, How to tune a number of the hidden layer, neurons, Different type of optimizer and activation function with Sampling techniques.