Credit Risk Models Using Machine Learning Models

Please use this identifier to cite or link to this item: 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