Prediction of House Pricing Using Machine Learning with Python

This is a study done for the purpose of knowledge among the people to understand and estimate the pricing of their houses. This will help them realize about the factors that affect the pricing of the house most and understand them. This prediction is done using 5 base algorithms and using simple stacking approach to compare the output of each algorithm and predict the best possible outcome

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Year of publication:	2019
Authors:	Jain, Namit ; Goel, Parikshay ; Sharma, Purushottam ; Deep, Vikas
Publisher:	[S.l.] : SSRN
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Immobilienpreis \| Real estate price \| Prognoseverfahren \| Forecasting model \| Hedonischer Preisindex \| Hedonic price index

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Extent:	1 Online-Ressource (11 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 15, 2019 erstellt
Other identifiers:	10.2139/ssrn.3403964 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014105765