Predicting Hanoi House Prices Using Machine Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3299-9_31
Reference17 articles.
1. Mukhlishin MF, Saputra R, Wibowo A (2017) Predicting house sale price using fuzzy logic, artificial neural network and K-nearest neighbor. In: Proceedings of the 1st international conference on informatics and computational sciences (ICICoS), Semarang, Indonesia, pp 171–176
2. Manasa J, Gupta R, Narahari NS (2020) Machine learning based predicting house prices using regression techniques. In: Proceedings of the 2nd international conference on innovative mechanisms for industry applications (ICIMIA), Bangalore, India, pp 624–630
3. Chen Y, Xue R, Zhang Y (2021) House price prediction based on machine learning and deep learning methods. In: Proceedings of the international conference on electronic information engineering and computer science (EIECS), Changchun, China, pp 699–702
4. Rana VS, Mondal J, Sharma A, Kashyap I (2020) House price prediction using optimal regression techniques. In: Proceedings of the 2nd international conference on advances in computing, communication control and networking (ICACCCN), Greater Noida, India, pp 203–208
5. Putri MR, Wijaya IGPS, Praja FPA, Hadi A, Hamami F (2023) Comparison study of regression models (multiple linear regression, ridge, lasso, random forest, and polynomial regression) for house price prediction in West Nusa Tenggara. In: Proceedings of the international conference on advancement in data science, E-learning and information system (ICADEIS), Bali, Indonesia, pp 1–6
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