Diabetes-prediction
This is a statistical modelling project for predicting the risk of diabetes. The dataset used for model building and testing is Pima Indian Diabetes dataset, and The classification algorithm used for model building is Logistic Regression.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Prerequisites
All the models have been built in python using python machine learning libraries; therefore, you must have python installed in your system. It is recommended to run the project on Anaconda platform in Spyder IDE. However, the project will run fine on any IDE after installing the imported libraries.
Install Anaconda and Spyder ide
Installation
Clone this repo to your local system using
$ git clone https://github.com/pratikgl/Diabetes-prediction.git