A real estate company would like to build a system that predicts the sale prices of a house. They have created a file containing information about 1,000 house sales in the Ayer Keroh area. In addition to the price, there are 20 features describing the house, such as number of bedrooms, total indoor area, lot size, garage space, location and infrastructure at the surrounding area. Explain 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.