Ames Housing Data

This project was originally done as a Kaggle challenge during my data science studies at General Assembly. It uses a housing data from Ames, Iowa and was compiled by Dean De Cock in 2011 for the purpose of data science education. The task is to create two different kinds of models : a regression model that can accurately predict the Sale Price of a house based on its features, and a categorical model that can predict whether or not the sales were made in abnormal circumstances. See my Github for details. 

Tags : data analysis, regression, categorization, gradient boosting