House Price Prediction Using Machine Learning

Abstract

ION There is a rise in demand for renting a house and buying house therefore , determining a more efficient to calculate the house rents is crucial. House rent increases once a year, So there's a desire to predict house rents within the future .House rent prediction has gained lots of focus nowadays. House rent prediction system studies behaviour of your time series data and reflects the long run rents. Forecasting foreign countries is vital to understand the house trends in an exceedingly particular country. Software implementations for the experiment were selected from python libraries .Data preprocessing and preparation techinques so as to get clean data. To make machine learning models ready to predict house price supported house features.to research and compare models performance so as to decide on the simplest model. We applied three different Machine Learning algorithms: Decision tree, Random forest and XG Bootsting on the training data