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This project aims to provide a web platform to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.. The user can fill the values for Predictor variables and can find whether user is diabetic or not. Achieved the prediction accuracy of 94% using Random Forest

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Diabetes Prediction using Django and Machine Learning

First make sure sqlite3 is installed in your system

  1. Create admin account
  2. Add all the DB tables
  3. Create DB

Make a new environment(recommended) and run

  1. Run pip install -r requirements.txt to install dependencies
  2. Run python manage.py makemigrations
  3. Run python manage.py migrate
  4. Run python manage.py runserver
  5. Navigate to http://127.0.0.1:8000/ in your browser

Dataset used

https://www.kaggle.com/saurabh00007/diabetescsv

Screenshots of Diabetes Prediction Web Application

Home page

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Registration page

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login page

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prediction page

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result page

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This project aims to provide a web platform to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.. The user can fill the values for Predictor variables and can find whether user is diabetic or not. Achieved the prediction accuracy of 94% using Random Forest

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