Real Estate Prediction via Machine Learning: A Case Study of Pakistan’s Cities
The traditional methods for forecasting the price of a house as well as flats fail to capture the high complexity of price variance from house to house.
The purpose of this paper is to provide valuable insights into the real estate market such as potential market gaps and price estimation.
Additionally, the paper aims to facilitate a comprehensive comparison among different algorithms that can be used for house price prediction.