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Udacity Machine Learning Nanodegree: Capstone Project

Intro

My capstone project is about predicting air pollutants using eXtreme Gradient Boosting (XGBoost). Please see my proposal for a full explanation, this Readme describes how to install and run the code.

Install

This project requires Python 2.7 and the following Python libraries installed:

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

The code is provided in different files:

  • airquality.ipynb is the notebook file
  • util.py contains common functionality

Run

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

jupyter notebook airquality.ipynb

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

Data

The dataset used in this project is included in the data directory as TrainingData.csv. You can find more information on this dataset on Kaggle page.