IKBFU's Vestnik

2019 Issue №4

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Using Python Libraries for Analysis of the Customer Churn Rate of a Bank

Pages
21-30

Abstract

At the present time, competition for customers among banks is escalat­ing. The indicator of customer churn is very important for the analysis and planning bank work. Five algorithms for calculating the outflow of bank cus­tomers are used in this article. Program codes are written in Python.

Reference

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2. Bank-Customer-Churn-Modeling // Kaggle: Your Machine Learning and Data Science Community. URL: https://www.kaggle.com/barelydedicated/bank-customer- churn-modeling (дата обращения: 23.11.2019).