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This project was a part of a Hackathon that was three months long (Sept - Nov 2021), in where a group of 3 students, myself included, were tasked with helping sellers understand what they should sell their homes for, as well as inform them of the most important attributes of a home which influence the price. The project consisted of webscrapping data from popular real estate websites and passing that information into machiene learning models on the Dataiku platform. We then were tasked with creating documentation based on our findings along with diagrams and charts.