House price prediction using advanced regression techniques

dc.contributor.author	Marij Hameed Khan, 01-134151-044
dc.contributor.author	Ali Rehman, 01-134152-008
dc.date.accessioned	2020-08-09T10:54:44Z
dc.date.available	2020-08-09T10:54:44Z
dc.date.issued	2019
dc.identifier.uri	http://hdl.handle.net/123456789/9518
dc.description	Supervised by Ms. Iqra Javed	en_US
dc.description.abstract	Real estate asset valuation is an enormous and obscure industry comprising of experts who rely upon years of experience to assess the worth of property. Several factors are considered when estimating the price of property, such as its size, location and amenities. We propose a system that provides estimations of a real estate assets worth considering these factors, focusing on the housing market so that home owners and sellers can determine the price of a house, to make an informed decision before selling or purchasing property	en_US
dc.language.iso	en	en_US
dc.publisher	Bahria University Islamabad Campus	en_US
dc.relation.ispartofseries	BS (CS);P-8469
dc.subject	Computer Science	en_US
dc.title	House price prediction using advanced regression techniques	en_US
dc.type	Project Reports	en_US