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Credit card churn prediction with machine learning algorithms
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Credit card is one of the main products in banking sector and there is a big competition in credit card business. This competition makes retention of customers critical. To retain the customers, it is very important to ...
Steel product clustering and feature-based product price estimation for flat secondary materials
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Machine Learning replaces manual and repeatable processes every day, none of the industries can resist these developments. Older systems were rule-based which would bring some level of automation, but all had their limits. ...
Predicting transaction numbers İn ATM
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
ATMs continue to be one of the most important channels for banks to touch their customers. They play an active role in life in terms of cash access and banking experience. The ability of a bank to predict the number of ...
Predicting birth defects
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Many couples are eager to have a healthy baby. For this reason, the pregnant woman is trying to take their baby through the steps of adjusting their lives during the pregnancy, such as healthy nutrition, organic life, ...
Developing a relation extraction model from english wikipedia articles for ınformation boxes
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
With the beginning of internet era in the mid '90s, the source of knowledge started to change rapidly from written sources such as the well-known Enyclopedia Britannica to online sources. One of the first online sources ...
Predicting facebook ad ımpressions & CPM values
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
It is estimated that there are more than two billion active users on Facebook as of the first quarter of 2018 and social media has tremendous opportunities for advertisers in terms of performance and measurability. However, ...
Customer segmentation of an online retailer
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Data about customers and their shopping habits is one of the most valuable assets of many organizations. Processing customer data, discovering unknown patterns, and getting useful results from them are primary purposes of ...
Clustering of news in publications
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
In today’s world, high volume of text is produced and stored continuously by the help of computer systems and Internet. And again by the help of Internet, those huge amount of text data is accessible to everyone. But when ...
Predicting the reasonable departments for the human resources related questions by using the text classification algorithms
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
The employees of Yapı Kredi Bank use a help desk system to ask their Human Resources related questions to the employees of the Human Resources departments. The questions are assigned automatically to the relevant departments ...
Predicting yelp stars based on business attributes
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2018)
Yelp is a business review website where consumers can comment on a business from their point of view. This allows other consumers to have prior knowledge of the business. Whenever we search something we try and hope to get ...