• Segmentation with unsupervised learning: An application using the Walker's data 

  Polat, Taylan (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  In this project, the Walkers suitable for the service were filtered by using the dataset shared by the DogGo company. Then, unsupervised machine learning methods such as K-Means, Gaussian, Principal Component Analysis were ...

• Employee performance prediction 

  Sivas, Barış (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  DogGo is a company that aims to provide safe and professional dog walking and grooming services to dog owners through the mobile application. Thanks to the DogGo application, dog owners and people who is employee of company ...

• Game recommendation system for steam platform 

  Bayram, Serhan (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  Increasing number of choices and competition in the markets, force companies to differ in services they provide to their customers. Offering better services have a positive impact on customer loyalty, and to do so, companies ...

• Location and cluster based sales channel potential analysis in retail 

  Bilgin, Birtuğ (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  This analysis project was conducted on the need to obtain new analysis and inferences for the existing traditional sales channels of company, which wants to progress in line with its omni-channel goals. In order to reach ...

• RFM based customer segmentation for a mobile application 

  Baykan, Ozan Barış (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  In this project, customer segmentation was made for Doggo, a mobile application that brings together trained dog walkers for people who are not able to provide daily needs of their dogs. The data was organized by obtaining ...

• Online shopping purchasing prediction 

  Kazezyılmaz, İdil (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  This project aims to understand the purchasing behavior of the consumers and make predictions about purchasing according to website metrics such as page values, bounce rates. An existing dataset is used in this project. ...

• Prediction of credit card default 

  Akalın, Selçuk (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  As profitable customer acquisition becomes more and more critical for the banking sector in terms of competition, the requirement to predict customer defaults with different machine learning algorithms is increasing. Thanks ...

• Bir otoyol projesi yapım işlerinin maliyet ve zaman açısından proje yönetim teknikleri ile incelenmesi 

  Dilek, Gülşen (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  Küreselleşen dünyada rekabetin artmasıyla ile birlikte harcanan zamanın değeri ulaştırma sektörüne en etkili şekilde yansımaktadır. Yolcu ve yüklerin belirli bir mesafeye belli koşullarda taşınması olarak tanımlanan, sosyal ...

• Convolutional neural network for facial emotion recognition with geometrical features of face 

  Arslan, İlker (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  One of the recent challenging machine learning problems is to make predictions on image datasets. The aim of the project is to construct a convolutional neural network to guess emotions for a face of a human given in an ...

• The effect of Bert-based grammatical analysis on Google search results 

  Çolak, Oğuz (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  This study aims to study the BERT, namely Bidirectional Encoder Representations from Transformers model, which is introduced by Google and is of great importance in content analysis, and to examine the role of grammatical ...

• Search engine optimization tool with Web crawler, page density checker, search density checker, and similar page checker 

  Körpe, Yiğitalp (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  For this project, I built an SEO tool. I am working in digital marketing, and we are using various tools, and services frequently. But due to budget constraints or a variety of tools, we cannot reach each tool all the time. ...

• Forecasting organic traffic with different source of data 

  Çolak, Mehtap (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  In this project, the results are compared using different data sets for the organic traffic forecasting of a website. Two different models were developed based on the data obtained from Google Search Console (GSC), Google ...

• Binaların söküm - Yıkım sürecinde atık yönetimi 

  Gümrükçü, Barbaros (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  Yapısal atıklar, yapı ve altyapıların bünyelerinde barındırdığı yapı ürünlerinin ve yapı alanı malzemelerinin, yapım, yenileme, onarım, söküm – yıkım, afet ve alan çalışması gibi etkinlikler sonucunda biçim değiştirerek ...

• Predicting the price of Bitcoin: Using machine learning time series methods 

  Ulutaş, Sezer (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2020)

  Cryptocurrencies have greatly increased their Bitcoin-led popularity in recent years due to increased trading volumes and massive capitalization in the market. These cryptographic forms of money are not just utilized for ...

• Ad click prediction using machine learning algorithms 

  Uncu, Nazlı Tuğçe (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  Online advertising has a great potential to boost business’ revenue. One of the key metrics that defines the success of online ad campaigns is click through rate (CTR) which indicates the total number of clicks received ...

• Price prediction using machine learning techniques: An application to vacation rental properties 

  Ay, Oğuz (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  Pricing is a subjective process that highly depends on person. There is no general rule to price a house. That is why there is both overpriced and underpriced rental houses in rental listings in websites such as AirBnB. ...

• QPICAR deep learning 

  Beğde, Özge (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  The aim of the project is to train a smart tool kit named "Sunfounder Raspberry Pi Robot Car" to move without hitting the walls in a closed area. The goal is to maximize the driving time without crashing by reducing the ...

• Credit card froud detection using machine learning 

  Erdoğan, Tibet (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  This project aims to find the most efficient machine learning models to detect fraudulent transactions on credit cards. The dataset used for this project consists of credit card transactions made by European cardholders ...

• Yeşil binaların kriterleri ve değerlendirme sistemlerine genel bir bakış 

  ALAWI, Mohammed Sharif Omar BA (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  YeĢil binaların inĢaatı ve tasarımı bugünlerde önemli bir nokta haline gelmiĢtir. Giderek artan sayıda tasarımcı, inĢaatçı, mimar ve ayrıca bina sahibi yeĢil bina uygulamalarıyla ilgilenmektedir. Sanayi devriminin bir ...

• İnşaat sektörünün geleceği 

  Can, Rengin Su (MEF Üniversitesi Fen Bilimleri Enstitüsü, 2021)

  İnşaat Endüstrisi, bir ülkenin ekonomik büyümesine büyük katkı sağlayan dünyanın temel endüstrilerinden biridir. Bu çalışma, İnşaat Sektörünün geçmişten bugüne nasıl geldiğini, Koronavirüs’ün yarattığı pandemi sürecinin ...

View more