Location-Wise House Prediction Using Data Science Techniques

This paper mainly deals with the prediction of location based on customer requirements. It also describes the location of the house, stores nearby by the house, duration of the house, transaction of data by the house and the latitude and longitude of the house, nearby station, and areas nearby house by using its contents to summarize the data. Take these contents on the x-axis and count on the x-axis then predict the data by using some algorithms in data science. Now, find the accuracy of data by training and testing, and then locate the particular location by using maps. Maps are the ones that can easily locate any region. By this, the customer can easily get access and can get the house with any legal requirements. The real-estate person can be gone through illegal things. In South India, propose to develop a model that can anticipate housing prices. It is an application of data science that makes use of algorithms. Prices of homes go up and down every day, and they aren't always proportional to the properties' actual values. Predicting the pricing of homes using only actual criteria is the primary emphasis of this effort. In this study, plan to conduct an analysis based on each of the fundamental criteria, and customer requirement are considered in the process of determining the prices.