This is Project One from Udacity’s Machine Learning Nanodegree program. It uses the UCI Boston Housing Dataset to build a model to predict prices for homes in the suburbs of Boston. The project begins with an exploration of the data to understand the feature and target variables, this is followed by the selection of a performance metric for the model, an analysis of how the model performed, and finally the model is applied to a hypothetical client’s house to predict a value for the house.