Abstract : In today’s world, everyone wishes for a house that suits their lifestyle and budget and provides amenities according to their needs. House prices keep on changing very frequently which proves that house prices are often exaggerated. There are many factors that have to be taken into consideration for predicting house prices such as location, number of rooms, carpet area, how old the property is? and other basic local amenities. This research aims to predict house prices based on every basic parameter that is considered while determining the price.
Keywords: Machine learning , Supervised learning , linear regression , model , Ridge regression
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DOI:
10.17148/IJARCCE.2021.10468
