HOUSE PRICE PREDICTION USING MACHINE LEARNING

Аннотация

In this paper, we are predicting the sale price of the houses using different machine learning algorithms. Housing Sales price are purposeful by numerous factors such as area of the property, material used for construction, location of the house, age of the property, number of bedrooms and garages, car garage and so on. This paper uses machine learning algorithms to try the prediction prototype for houses. Here, machine learning algorithms such as linear regression and support vector regression and neural network are employed to build a predictive model. We have considered Housing data of 1460 properties. This paper also represents significance of our approach and the methodology.