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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
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250403042References
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.
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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