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Credit risk models using machine learning models
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
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 ...
Churn prediction in vodafone Turkey
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
This Capstone Project focuses on finding a churn pattern in Vodafone postpaid consumer subscribers. The churn value refers to disconnection from subscription via port-out / Mobile number portability (MNP). It is one of ...
Fraud detection ın the bitcoin exchange market
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
The trading volume and financial assets of Bitcoin are growing up, while the popularity of Bitcoin world increasing continuously in recent years. In parallel, the market becomes an attraction center for malicious people.
Trangling weratedogs twitter data to create interesting and trustworthy explosatory/predictive anaylses and visulation using different machine learning algorithms
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Social media usage has rapidly grown in recent years and knowledge in these environments increased due to this expansion. Therefore, doing exploratory and predictive analysis from intensive data of social media became so ...
Second-hand car price estimation using machine learning
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
The ones who think to sell their cars always think about their cars’ second-hand market worth, at first. Both for the sellers and the buyers, it is crucially important to estimate the car’s realistic worth, in order not ...
Consumer loans' first payment default (FPD) detection and predictive model
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
The project is based on the opinion that whether the loan applications which are profitable could be granted instead of prone the default (FPD) ones by using predictive models in machine learning by the credit decision ...
Credit card fraud detection analysis and machine learning application
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Credit card fraud transaction is a common term for theft and fraud action involving a payment card such as payment or credit card or debit card as a source of funds in transactions. With increased usage of POS channel or ...
Predicting customer satisfaction via structed and unstructured data using classification and regression
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
According to different studies, retaining existing customers is five or more times more costly than acquiring new ones. This study aim to understand what customers expect from an airline using machine techniques. Dataset ...
Flight delay prediction
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
This study aims to create a model to predict flight departure delays. Various factors might affect a flight delay, and thus different features might be selected as input to create a model concerning priorities and the power ...
Predicting customer perfection on brands functional near-infrared spectroscopy measurements
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Customer perception on the brands have importance to give strategic decisions by marketing professionals. In classical ways, customer perception on brands are researched through conducting field surveys. Similarly, ...