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This repository consists of files required to deploy a Machine Learning Web App created with Flask on Heroku platform.

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Aditya-171/Diabetes-Prediction-Deployment

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Diabetes-Prediction-Deployment

Demo link- Click Here

Project description

  1. Dataset used consists of 768 records with 8 independent features.

  2. Performed Exploratory Data Analysis, Data Cleaning, Data Visualization.

  3. Algorithms and Technologies used: Random Forest ,Python ,Jupyter Notebook ,Flask ,Matplotlib.

  4. Completed End-to-End implementation by creating a Web App using Flask

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This repository consists of files required to deploy a Machine Learning Web App created with Flask on Heroku platform.

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flash jupyter-notebook html-css python-3

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