Diabetes-predictor

End-To-End full project, deployed on Heroku platform
analyzing Pima Indians Diabetes Database
using different data explration methods(univariate and bivariate)
Implementing different alogorithms & models for predictions
Predicting(a person is having daibetes or not) and Storing output as 'csv' file.
EDA visual report for brief insights.
Active and working website of 'Diabetes Predictor'

Resources Used

Python Version: 3.7

Packages: pandas, numpy, sklearn, matplotlib, seaborn, Flask

IDE: Jupyter Notebook

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.ipynb_checkpoints		.ipynb_checkpoints
static		static
templates		templates
Diabetes.pkl		Diabetes.pkl
Dibtes_prototype.ipynb		Dibtes_prototype.ipynb
EDA_Report.html		EDA_Report.html
Procfile		Procfile
README.md		README.md
app.py		app.py
diabetes.csv		diabetes.csv
requirements.txt		requirements.txt