Udacity Machine Learning Nanodegree: Capstone Project

Intro

My capstone project is about predicting diabetes using eXtreme Gradient Boosting (XGBoost). This Readme describes how to install and run the code.

Install

This project requires Python 3 and the following Python libraries installed:

• NumPy
• Pandas
• matplotlib
• scikit-learn
• xgboost
• graphiz

You will also need to have software installed to run and execute an iPython Notebook

I recommend to install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

Code

• capstone.ipynb is the notebook file

Run

In a terminal or command window, navigate to the project directory that contains this README and run the following command:

jupyter notebook capstone.ipynb

This will open the iPython Notebook software and project file in your browser.

Data

The dataset used in this project is included as diabetes.csv.

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Predict-Diabetes