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Chuen analysis of Gittigidiyor customers
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
In this project, it is aimed to estimate the loyalty of the customers of the e-commerce company named GittiGidiyor by analzying the customer movements and examined which movements affected the customer loyalty positively ...
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 ...
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 ...
Predicttion of brent oil spot prices using country based ınventory and trading data
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Crude oil price forecasting has been the focus of numerous authorities, yet the task still persists on being a challenging one. The extremely volatile nature of oil market and high number of active players in it makes ...