Yüksek Lisans Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1785

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Institution Author: search.filters.institutionAuthor.Akman, ÖzkanSubject: search.filters.subject.Loan-to-Value Ration

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  • Master Term Project
    Credit Risk Models Using Machine Learning Models
    (MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018) Akman, Özkan; Çakar, Tuna
    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.