Exploring House Price Forecasting through Machine Learning and Data Preprocessing

Predicting house prices accurately is crucial in real estate, influencing decisions for buyers, sellers, and investors. Machine learning has emerged as a potent tool in this domain, leveraging historical sales data, property features, and economic indicators to forecast future prices. However, the e...

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Vydané v:	2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) s. 304 - 310
Hlavní autori:	Vaishnavi, A.V.S.S.P.L., Raghavendra, G. Gopi Krishna, Jilan, Mohammed, Chowdary, A. Pranya, Singh, Romen, C, Karthikeyan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 03.05.2024
Predmet:	Accuracy Biological system modeling Data integrity Data preprocessing Deep learning Feature extraction and feature engineering House price prediction Machine learning Machine learning algorithms Normalization Symbiosis
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