Name		Name	Last commit message	Last commit date
templates		templates
Procfile		Procfile
README.md		README.md
app.py		app.py
diabetes.csv		diabetes.csv
diabeties_project.ipynb		diabeties_project.ipynb
model.pkl		model.pkl
requirements.txt		requirements.txt

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Diabetes-Prediction-Deployment

Demo link- Click Here

Project description

Dataset used consists of 768 records with 8 independent features.
Performed Exploratory Data Analysis, Data Cleaning, Data Visualization.
Algorithms and Technologies used: Random Forest ,Python ,Jupyter Notebook ,Flask ,Matplotlib.
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.

flash html-css jupyter-notebook python-3

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