Sberbank, Russia’s oldest and largest banks, wants to help their customers to make predictions about realty prices. We are given a data set that includes 5000 properties which includes the sale price as well as 72 other features about each observation. Our goal is to create a model that can predict the individual property prices with the data set given as accurately as possible. Github Repository