Using Linear Regression Machine Learning Algorithm for the Prediction of Real Estate

The Real Estate prediction model is a web-based Machine Learning project which uses the machine learning algorithm to determine the price of the house in the future. This project targets the people who are in search of a place for living with a suitable price and a living standard. To get better and accurate results we have used multiple algorithms and compared them. The findings have indicated that the use of various algorithms can drastically impact the accuracy of the prediction. And, having a poor dataset negatively impacts the prediction. Different factors like interest rates, housing inventory, absorption rates, rental to capitals and many more impact the price of the real estate. So, we would like to make a model which predicts the price precisely keeping these factors in mind.