Credit Risk Models Using Machine Learning Models

Akman, Özkan

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1157

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Çakar, Tuna	-
dc.contributor.author	Akman, Özkan	-
dc.date.accessioned	2019-11-12T13:41:59Z
dc.date.available	2019-11-12T13:41:59Z
dc.date.issued	2018	-
dc.identifier.citation	Akman, Ö. (2018). Credit risk models using machine learning models, MEF Üniversitesi Fen Bilimleri Enstitüsü, İstanbul, Türkiye	en_US
dc.identifier.uri	https://hdl.handle.net/20.500.11779/1157	-
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	MEF Üniversitesi, Fen Bilimleri Enstitüsü	en_US
dc.rights	info:eu-repo/semantics/openAccess	en_US
dc.subject	Credit Ranking	en_US
dc.subject	Credit Scoring Models	en_US
dc.subject	Machine Learning	en_US
dc.subject	Support Vector Machine	en_US
dc.subject	Decision Tree Model	en_US
dc.subject	Linear Discrimant Analysis	en_US
dc.subject	Loan-to-Value Ration	en_US
dc.subject	Saving Capacity	en_US
dc.subject	Logistic Regression Model	en_US
dc.title	Credit Risk Models Using Machine Learning Models	en_US
dc.title.alternative	Makine öğrenmesi uygulamaları ile kredi risk modelleme	en_US
dc.type	Master's Degree Project	en_US
dc.relation.publicationcategory	YL-Bitirme Projesi	en_US
dc.department	Büyük Veri Analitigi Yüksek Lisans Programı	en_US
dc.institutionauthor	Akman, Özkan	-
item.grantfulltext	open	-
item.fulltext	With Fulltext	-
item.languageiso639-1	en	-
item.openairetype	Master's Degree Project	-
item.openairecristype	http://purl.org/coar/resource_type/c_18cf	-
item.cerifentitytype	Publications	-
Appears in Collections:	FBE, Yüksek Lisans, Proje Koleksiyonu