Prediction of Property Price and Possibility Prediction Using Machine Learning

Abstract

            Nowadays the use of prediction methods is used in most of the area. The rising demand for prediction has made it more popular and a helpful tool. Thus most of us are go for prediction most of the time. But there are some cons in it, most of us don’t think about the part which was going to happen after the prediction. The prediction is to find the approximate result but we are also able to use the predicted result for further use. The more we use the predicted value, our outcome will attain high usability in future aspects. People are becoming more curious about property value and their predictions. Among those, the real estate value is a very curious one because it is one of the fixed assets. Real estate deals with the land which is the most essential one for all. The land and housing property will be directly related to the country’s economy and its growth and fall. The economic growth will be predicted by considering real estate as one of its features for prediction. The home is the one where we all live in and hence it is a mandatory one for all the people who live on earth. For a child, the place where it lives and how its surroundings will make the child grow with good qualities. The environment and surroundings are also important features to take in mind to predict its value. But most of us will only take the building and its physical materials for consideration but the real up and down of the price values depend on those extra surrounding environments which are placed nearby. The main role of the idea is not only to predict the price but also to find some of the possibilities after the prediction has been done successfully. Thus the prediction will not be the end of the idea, it also becomes the beginning of a new one.