https://github.com/shuyib/pimadlkeras

Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
https://github.com/shuyib/pimadlkeras

diabetes hidden-layers keras-neural-networks matplotlib-figures model-validation numpy pima-indians-dataset prediction predictive-modeling python-3-5 seaborn

Last synced: about 16 hours ago
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Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.

• Host: GitHub
• URL: https://github.com/shuyib/pimadlkeras
• Owner: Shuyib
• Created: 2017-06-01T05:36:01.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-08-02T16:13:00.000Z (4 months ago)
• Last Synced: 2024-10-12T09:22:11.433Z (about 1 month ago)
• Topics: diabetes, hidden-layers, keras-neural-networks, matplotlib-figures, model-validation, numpy, pima-indians-dataset, prediction, predictive-modeling, python-3-5, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.92 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        
# pimaDLkeras

Using keras specify-compile-fit- prediction workflow on this binary classification problem to investigate if i'll get better predictions. 

Check out the requirements.txt before doing the analysis on your machine.

Accuracy approximately 70 %

Original Owners:

National Institute of Diabetes and Digestive and Kidney Diseases