House Price Prediction Using Regression Analysis

Abstract

Everyone want to live in his or her own home. For a human, a house is a magnificent thing. Consider the case of a person in need of a home. As a result, he will look for a property that he can purchase at a fair price. He will also be able to view the characteristics that are appropriate for him. Similarly, in the case of a seller who wants to sell his or her home, he may learn what sorts of features he can include and how to sell his or her home for the highest possible profit.As a result, we may conclude that this initiative benefits both the buyer and the seller. This project uses machine learning to forecast the price of a property based on a variety of factors. The customers input information about the property, and using machine learning, he may see the house price and decide whether or not to buy it.