ANALYSIS ON THE STATUS OF RENT OF HOUSING INDUSTRY

Abstract - Machine learning has been playing an active role in the past few years in several applications like image detection, spam reorganization, recommending products and in medical fields. Present machine learning algorithm helps us in enhancing security alerts, ensuring public safety and improve medical enhancements. Determining the sale price of the house is very important nowadays as the price of the land and price of the house increases every year. So our future generation needs a simple technique to predict the house price in future. The price of house helps the buyer to know the cost price of the house and also the right time to buy it. The right price of the house helps the customer to elect the house and go for the bidding of that house. There are several factors that affect the price of the house such as the physical condition, location, landmark etc. Our result exhibit that our approach to the issue needs to be successful, and can process predictions that would be comparative with other house rent prediction models. This paper uses linear regression technique to predict the house price.