Machine learning approaches for predicting banks’ customers credit card default: an application to the Taiwanese case
Ungherini, Flavio (A.A. 2022/2023) Machine learning approaches for predicting banks’ customers credit card default: an application to the Taiwanese case. Tesi di Laurea in Customer intelligence & big data, Luiss Guido Carli, relatore Luca Romeo, pp. 130. [Master's Degree Thesis]
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Abstract/Index
Introduction to artificial intelligence application and their significance in the banking industry. Machine learning applications for analyzing historical socio-economic issues in the banking industry. Used dataset. Data analysis on the Taiwanese dataset. Results. Discussions.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Marketing (LM-77) |
| Chair: | Customer intelligence & big data |
| Thesis Supervisor: | Romeo, Luca |
| Thesis Co-Supervisor: | Villarroel Ordenes, Francisco Javier |
| Academic Year: | 2022/2023 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 13 Dec 2023 16:18 |
| Last Modified: | 13 Dec 2023 16:18 |
| URI: | https://tesi.luiss.it/id/eprint/37337 |
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