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https://github.com/ranjan2104/diabetes-prediction-application
It is a Model that Predict the Diabetes Status of any person by just giving the some observations so that take the decision on that with the accuracy of 93%+. Due to Trained Model with Data sets so that able to predict very carefully on the previous decision it is supervised learning model using an algorithm is Linear regression and Sklearn for testing and Training the Model and Flask is Uses in Backend and in Frontend HTML, CSS, Js is Using.
https://github.com/ranjan2104/diabetes-prediction-application
flask gunicorn itsdangerous jinja2 markupsafe matplotlib numpy pandas scikit-learn scipy werkzeug
Last synced: about 2 months ago
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It is a Model that Predict the Diabetes Status of any person by just giving the some observations so that take the decision on that with the accuracy of 93%+. Due to Trained Model with Data sets so that able to predict very carefully on the previous decision it is supervised learning model using an algorithm is Linear regression and Sklearn for testing and Training the Model and Flask is Uses in Backend and in Frontend HTML, CSS, Js is Using.
- Host: GitHub
- URL: https://github.com/ranjan2104/diabetes-prediction-application
- Owner: Ranjan2104
- License: bsd-2-clause
- Created: 2021-06-25T08:13:32.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-09-30T18:59:20.000Z (about 3 years ago)
- Last Synced: 2023-03-06T21:50:49.857Z (almost 2 years ago)
- Topics: flask, gunicorn, itsdangerous, jinja2, markupsafe, matplotlib, numpy, pandas, scikit-learn, scipy, werkzeug
- Language: HTML
- Homepage:
- Size: 2.61 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Diabetes-Prediction Application
It is a Model that Predict the Diabetes Status of any person by just giving the some observations so that take the decision on that with the accuracy of 93%+. Due to Trained Model with Data sets so that able to predict very carefully on the previous decision it is supervised learning model using an algorithm is Linear regression and Sklearn for testing and Training the Model and Flask is Uses in Backend and in Frontend HTML, CSS, Js is Using.
