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+# 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.