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https://hdl.handle.net/20.500.11779/1157| Title: | Credit risk models using machine learning models | Other Titles: | Makine öğrenmesi uygulamaları ile kredi risk modelleme | Authors: | Akman, Özkan | Advisors: | Çakar, Tuna | Keywords: | Credit Ranking Credit Scoring Models Machine Learning Support Vector Machine Decision Tree Model Linear Discrimant Analysis Loan-to-Value Ration Saving Capacity Logistic Regression Model |
Publisher: | MEF Üniversitesi, Fen Bilimleri Enstitüsü | Source: | 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 |
| Appears in Collections: | FBE, Yüksek Lisans, Proje Koleksiyonu |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ÖzkanAkman.pdf | YL-Proje Dosyası | 8.54 MB | Adobe PDF |  View/Open |
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