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Risk parameter calculation using princpal component analysis of yield curves: the case of borsa İstanbul fixed income market
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
To enable a trustworthy clearing operation, clearinghouses require conservative margins to avoid the risk of incurring a loss in case one counterparty defaults. When margin requirements for fixed income instruments are ...
E-commerce customer shurn prediction based machine learning algortihms
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
With the development and popularization of a digital world, human behavior has changed so remarkably. A lot of sectors affected because of this change. One of the most affected areas is the retail sector. People have left ...
Loaction based recommendation system using flickr geotagged photos
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Flickr is a worldwide photo sharing application. In this project, photos with location information provided by Flickr will be used. By utilizing this location information, a recommendation system that recommends users the ...
Predicting transaction numbers İn ATM
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
ATMs continue to be one of the most important channels for banks to touch their customers. They play an active role in life in terms of cash access and banking experience. The ability of a bank to predict the number of ...
A comprasion of ensemble learning methods in retail sales forecasting
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Forecasting has always been an essential skill which companies try to have and implement in various areas. Sales forecasting is one of the major usage areas of forecasting which is used in almost all sectors. This study ...
Machine learning applications to increase customer satisfaction ın finance sector
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
In this project, consumers’ complaints about financial data are analyzed. After the analysis, we aim to provide a tool for financial companies such as banks, Lenders that will help them in managing communication with the ...
Mortality prediction of countries
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
In this study mortality reasons of countries detailed by sex and age-group is analyzed and different forecasting models are developed by using different machine learning algorithms. The dataset is obtained from the World ...