# Diabetes Prediction

Using various machine learning algorithms to get the best prediction accuracy if possible for the Pima Indians dataset.

The best result was found with GradientBoosting with an accuracy of 83%.

## Install

###     Python version used in this project: 3.6.6

###     Libraries used:

> *  [Pandas](http://pandas.pydata.org) 0.23.4

> *  [Numpy](http://www.numpy.org) 1.15.3

> *  [Matplotlib](https://matplotlib.org) 2.2.2

> *  [Scikit-learn](http://scikit-learn.org/stable/) 0.20.0

> *  [Scipy](https://www.scipy.org/) 1.1.0

## How to Run

To run this project you will need some software, like Anaconda.

From Anaconda just set as working directory the folder of the project, open the .py file you want from Models folder and run this file or press F5.