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Development and comparison of prediction models for estimating short term energy demand of a hotel building
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2017)
This project presents a machine learning model building approach to developing a model for predicting next hour electricity consumption of a hotel complex in Cyprus, with the aim of improving existing prediction accuracy ...
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 ...
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 ...
Carbon price forecasting
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
In last twenty years great improvements occurred both in technological advances and in the world economic capacity. The total production capacity of countries has been increasing rapidly. These increases need great usage ...
Sms spam detection in Turkish language
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Short message (SMS) is one of the most common communication methods. The growth of mobile phone users has led to a dramatic increase in using short messages. With the increasing number of mobile phone users, mobile phone ...
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 ...
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 ...
