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Credit risk models using machine learning models

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info:eu-repo/semantics/openAccess

Date

2018

Author

Akman, Özkan

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Citation

Akman, Ö. (2018). Credit risk models using machine learning models, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye

Abstract

Credit scoring is an important subject in financial institutions, mainly in banks. I want to examine some machine learning techniques to find out a model that performs good in predicting or classifying the loaner person a good credit or a bad one by evaluating his/her demographic features as marital status, wealth, job seniority, monthly income and expenses.

URI

https://hdl.handle.net/20.500.11779/1157

Collections

  • FBE, Yüksek Lisans, Proje Koleksiyonu [116]

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