House Price Prediction Using Machine Learning Algorithms

Abstract

Due to increase in urbanization, there is an increase in demand for renting houses and purchasing houses. Therefore, to determine a more effective way to calculate house price that accurately reflects the market price becomes a hot topic. The paper focuses on finding the house price accurately by using machine learning algorithms like simple linear regression (SLR), Multiple linear regression (MLR), Neural Networks (NN). The algorithm which has the lower Mean Square Error (MSE) is chosen as the best algorithm for predicting the house price. This will be helpful for both the sellers and buyers for finding the best price for the house.