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Original Article

Real Estate Price Prediction Using Data Science and Machine Learning

A. Suresh Kumar1 Nishalin M2 Afsheen A3 Haruna W4 Ibrahim M5
1 Assistant Professor, Department of CSE, Rathinam Technical Campus, Coimbatore, Tamil Nadu, India. 2 3 4 5 Final Year Students, Department of CSE, Rathinam Technical Campus, Coimbatore, Tamil Nadu, India.

Published Online: September-December 2025

Pages: 265-268

References

1. Selim, H., “Determinants of House Prices in Urban Areas: A Hedonic Regression Model,” Journal of Housing Economics, Vol. 18, No. 1,
pp. 73–84, 2009.
2. Malpezzi, S., “Hedonic Pricing Models: A Selective and Applied Review,” Housing Economics, Springer Publications, pp. 67–89, 2008.
3. 3.Breiman, L., “Random Forests,” Machine Learning, Vol. 45, No. 1, pp. 5–32, 2001
4. 4.Tibshirani, R., “Regression Shrinkage and Selection via the Lasso,” Journal of the Royal Statistical Society, Series B, Vol. 58, No. 1, pp.
267–288, 1996.
5. 5.Zhao, Y., and Liu, H., “Machine Learning Approaches for Real Estate Market Prediction,” Journal of Real Estate Analytics, Vol. 12, No.
3, pp. 145–156, 2021
6. 6. Bourassa, S. C., Hoesli, M., and Peng, V. S., “Do Housing Submarkets Really Matter?” Journal of Housing Economics, Vol. 12, No. 1,
pp. 12–28, 2003.

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