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The digitalization of financial services at its current stage is characterized by high dynamics in terms of information technology used, with the expansion and complication of the relationship with consumers, which requires constant improvement of the forms and methods of management of organizations offering financial services. The emergence of phenomena such as cryptocurrencies, blockchain transactions, fintech companies, and others modify the financial services market, which is traditionally dominated by banks a...

Machine learning covers a wide set of supervised and unsupervised algorithms for solving prediction, classification and anomaly detection problems. One of the areas of their applications is for customer churn prediction. To build a model for predicting the switching of customers, data scientists use different demographics, social, transactional, behavioural metrics and features. At the same time, most of the small Bulgarian companies still don?t have the needed versatile and complete customer data. They rely mainl...