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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Veröffentlicht in:	2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN) S. 304 - 310
Hauptverfasser:	Vaishnavi, A.V.S.S.P.L., Raghavendra, G. Gopi Krishna, Jilan, Mohammed, Chowdary, A. Pranya, Singh, Romen, C, Karthikeyan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 03.05.2024
Schlagworte:	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
Online-Zugang:	Volltext
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