A real estate company would like to build a system that predicts the sale prices of a house. They create a file containing information about 1,000 house sales in the Georgetown area. In addition to the price, there are other 10 features describing the house, such as number of bedrooms, total indoor area, lot size, garage space, location and infrastructure at the surrounding area. Describe how you would implement a machine learning model that would solve this prediction task. Please give a description of the system and explain all steps you would carry out when developing it