Kaggle House Prices: Advanced Regression Techniques

Install

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

• NumPy
• Pandas
• matplotlib
• scikit-learn

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

Udacity recommends our students install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

Code

Template code is provided in the notebook house_prices.ipynb notebook file.

Run

In a terminal or command window, run one of the following commands:

ipython notebook house_prices.ipynb jupyter notebook house_prices.ipynb

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

Data

The data used for this project can be found at Kaggle. The data files should be kept in the same folder that contains this README.