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Market basket analysis using apriori algorithm
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Predictive analysis is a branch of data engineering that predicts some occurrence or probabilities depend on the data. To make predictions about future events, predictive analytics uses data mining techniques. The process ...
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 ...
Humpback whale ındentification with convolutional neural networks
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
The migration patterns of humpback whales are tracked with conventional photoidentification techniques for decades. The distinct markings on whale flukes serve as unique fingerprints for these creatures. This study aims ...
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 ...
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 ...
Building footprint extraction using deep learning techniques
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Geospatial industry is getting bigger and bigger these days in addition to creating massive amount of data. Today map features such as roads, building footprints are created through manual techniques. There is not automated ...
End of day cash amount prediction of all bank branches
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Today, although there are different payment methods available, most of the daily payments are made in cash¹. Accordingly, people's cash demand continues consistently. Due to its presence in most common networks, being as ...
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 ompact of product and user features on the sales in an e-commerce site
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
In recent years, the ratio of online shopping to total shopping has been increasing continuously. Many factors affect sales of e-commerce sites. Prior to purchasing, users are concerned whether the features of the products ...
Association rule mining on ticket sales data
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
This study aims to analyze the ticket sales data of a cultural institution and define association rules between the festivals/event group and festival/event group venues by market basket analysis. Market basket analysis ...
