Predictive Analysis for Personal Loans by Using Machine Learning
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61315-9_13
Reference19 articles.
1. Akça, M.F., Sevli, O.: Predicting acceptance of the bank loan offers by using support vector machines. Int. Adv. Res. Eng. J. 6(2), 142–147 (2022)
2. Agarwal, K., Jain, M., & Kumawat, A.: Comparing classification algorithms on predicting loans. In: Information Systems and Management Science: Conference Proceedings of 3rd International Conference on Information Systems and Management Science (ISMS) 2020 (pp. 240–249). Springer International Publishing (2022). https://doi.org/10.1007/978-3-030-86223-7_21
3. Amari, S.: A theory of adaptive pattern classifiers. IEEE Trans. Electron. Comput. 3, 299–307 (1967)
4. Anand, M., Velu, A., Whig, P.: Prediction of loan behaviour with machine learning models for secure banking. J. Comput. Sci. Eng. (JCSE) 3(1), 1–13 (2022)
5. Arun, K., Ishan, G., Sanmeet, K.: Loan approval prediction based on machine learning approach. IOSR J. Comput. Eng 18(3), 18–21 (2016)
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