House Price Prediction by Machine Learning & Deep Learning Algorithms
Business Priorities Real estate economics Real estate economics is the application of economic techniques to real estate markets. It tries to describe, explain, and predict patterns of prices, supply, and demand. The closely related field of housing economics is narrower in scope, concentrating on residential real estate markets, while the research on real estate trends focuses on the business and structural changes affecting the industry. Use Case Housing Price Prediction Problem The datasets describes 13 numerical properties of houses in Boston. Those properties are concerned with modeling the price of houses in those suburbs in thousands of dollars. As such, this is a regression predictive modeling problem. Input attributes details are defined below. Regression Predictive Modeling Problem Data Analysis and Hypothesis Testing D...