https://github.com/viveksati5143/diabetes-prediction

https://github.com/viveksati5143/diabetes-prediction

Last synced: 10 days ago
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• Host: GitHub
• URL: https://github.com/viveksati5143/diabetes-prediction
• Owner: Viveksati5143
• Created: 2023-07-20T20:31:07.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-07-22T18:11:37.000Z (over 1 year ago)
• Last Synced: 2023-07-22T18:46:27.906Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 1.51 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
 *Diabetes-Prediction* is all about using Binary Classification to predict whether the person is having diabetes or not.

-Applying different classification algorithms like Logistic Regression, SVM, KNN, Naive Bayes, Decision Tree and Random Forest on Diabetes dataset.

# Steps to run the project locally:-

Step 1: Run the Diabetes.ipynb file

            A model.pkl file will be created

Step 2. Go to the terminal and run app.py using command:

            streamlit run app.py

Step 3. It will automatically redirect to http://localhost:8501/