This study analyzes the features that are important for the extended coverage automobile insurance sale decision of the client and the improvement strategies for insurance sales using the information gained from the analysis ...

Employee is an important element of the organization. The success or failure of the organization depends on its performance. In this study, there are solutions that affect the theoretical framework and models of employee ...

The project is based on the opinion that whether the loan applications which are profitable could be granted instead of prone the default (FPD) ones by using predictive models in machine learning by the credit decision ...

Credit card fraud transaction is a common term for theft and fraud action involving a payment card such as payment or credit card or debit card as a source of funds in transactions. With increased usage of POS channel or ...

In this study, the effects of Exchange rate volatility on export and import of Turkey is analysed by employing monthly trade data for the period from January 2004 to November 2015. The study is extended to cover both ...

The mortgage financial crisis which in U.S. mid 2000’s has been expanded and took hold of the other countries in a short time. The impact of the crisis forced financial institutions, especially the banks, to monitor their ...

This project studies the usage of the recommendation engines to improve the sales in an online fashion retailer. Fashion retailers sale variety of products throughout their online channels. Since the number of products can ...

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 ...

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 ...

This study presents a supervised machine learning algorithm to detect delinquency probability of the customers in next 2 years with a dataset that is extracted from a leading online data source website. The aim is to predict ...