A machine learning based method to predict the profit for a new retail store based on its geographic location.
Collect current retail stores data like revenue, nearby transportation, land rental, schools nearby, tourism sites nearby, competitors nearby and so on. Use all the data collect to predict a new site’s possible revenue and then choose the highest revenue site from a list of possible sites.
See the poster for the project.
