Boston house price prediction: machine learning

Abstract

The Boston housing problem has been studied by many data scientists for over 50 years. The problem is proven to be extremely profitable, and it is considered as one of the most classical machine learning problems. Using machine learning techniques, computer scientists have already reduced the error of their estimation to around 4%. To solve this problem, computer scientists have developed a number of machine learning algorithms in recent years. Some are simple, while others are more complex; some offer a rough estimate of house value, while others offer more precise estimates In this essay we will see how they approach the problem using machine learning regression methods.