Housing Rental Information Management and Prediction System Based on CatBoost Algorithm - a Case Study of Halifax Region
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65668-2_16
Reference24 articles.
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3. Park, B., Bae, J.K.: Using machine learning algorithms for housing price prediction: the case of Fairfax county, Virginia housing data. Expert Syst. Appl. 42, 2928–2934 (2015). https://doi.org/10.1016/j.eswa.2014.11.040
4. Sharma, H., Harsora, H., Ogunleye, B.: An optimal house price prediction algorithm: XGBoost. Analytics. 3, 30–45 (2024). https://doi.org/10.3390/analytics3010003
5. Zhang, H., Li, Y., Branco, P.: Describe the house and i will tell Tou the price: house price prediction with textual description data. Nat. Lang. Eng. 29, 1–35 (2023). https://doi.org/10.1017/s1351324923000360
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