Abstract
The business of buying and selling of house continues to grow every year due to population growth and migration to other cities for their financial purposes. Real estate is a very emerging field in everyone’s day to day life. The prices of houses are regularly changing on daily basis and are sometimes fired rather than based on actual estimates. Foreseeing property costs by actual components is a main criterion of this research paper. Our basic aim is to take all the actual and primary features to determine the result of our system. We have used regression models like decision tree classifier, random forest, and multiple linear regression classifier for prediction to get better results and for upgraded accuracy. This paper will give information that how we will predict the home price with the help of different features and python with its libraries. The main objective of this research paper is the estimation of the market worth of a land, house, property which will help customers to buy and sell property without moving to a specialist.
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