Real Estate Price Prediction Model

Machine learning has been a major driving force in the past years in several aspects of our lives namely medical diagnosis, normal speech command, detection of an image, product recommendation, spam recognition, and Price prediction, etc. There has been a steep increase in House prices every year, hence an automated system is required to predict future house prices. This system of house price prediction will help the owner to determine the selling price of a house and can help the buyer to arrange the appropriate time to purchase a house. Supervised Learning algorithm namely Linear Regression has been applied in this paper for prediction and analysis of house prices which depends on various factors such as BHK, locality, and bath, etc, and these factors are considered as the independent variables.