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A comprasion of ensemble learning methods in retail sales forecasting
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Forecasting has always been an essential skill which companies try to have and implement in various areas. Sales forecasting is one of the major usage areas of forecasting which is used in almost all sectors. This study ...
Alternative credit scoring model for thin file customers
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Credit scoring is a widely used tool for banks, financial institutions or corporations. Traditional credit score models are calculated from past financial history of users, and this may lead to exclude some people who have ...
Predicting customer satisfaction via structed and unstructured data using classification and regression
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
According to different studies, retaining existing customers is five or more times more costly than acquiring new ones. This study aim to understand what customers expect from an airline using machine techniques. Dataset ...
Retention period prediction for pension policies
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Customer Retention in Pension market refers to the activities and actions companies and organizations take to reduce the number of customer defections. How long the customer will be with our company or will stay in the ...
Flight delay prediction
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
This study aims to create a model to predict flight departure delays. Various factors might affect a flight delay, and thus different features might be selected as input to create a model concerning priorities and the power ...
Football player profiling using opta match event data: hierarchical clustering
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Increasing popularity of data analytics has impacted the sport industry. Dimension of available data and best practices on the usage of data analytics increased as a result of this trend. Player profiling is one of emerging ...
Predicting customer perfection on brands functional near-infrared spectroscopy measurements
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Customer perception on the brands have importance to give strategic decisions by marketing professionals. In classical ways, customer perception on brands are researched through conducting field surveys. Similarly, ...
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 ...
Prediction of up and down signalsın selected blues chip stocks
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Efforts have been made to predict the direction in which equity stocks will move in the capital markets. In most of these studies, Technical Analysis and Fundamental Analysis based models have been used. For daily price ...
Analyzing the drivers of customer satisfaction via social media
(MEF Üniversitesi, Fen Bilimleri Enstitüsü, 2019)
Social media became a great influence force during the last decade. Active social media user population increased with the new generations. Thus, data started to accumulate in tremendous amounts. Data accumulated through ...