Housing Price Prediction Model Using Machine Learning

Housing price prediction is a challenging task due to the complexity of huge data variance with changes in location points. In this research paper, we propose a machine learning- based house pricing prediction model that can predict the prices of houses more accurately. The proposed model uses a combination of data pre-processing techniques and machine learning algorithms simultaneously. The efficiency of the proposed model is evaluated using real-time house price data, and the results show significant improvement over the existing techniques.