Customer Churn Prediction

Main Article Content

Dr.K.Geetha, Prachi Tomar, Anisha Jain

Abstract

With the rapid advancement of digital systems and related information technologies, there is a
growing tendency in the global economy to develop digital CRM systems. This research uses a real-world study to predict customer churn and recommends the use of PyCaret to improve a customer churn prediction model. Unlike most studies, this work seeks to employ PyCaret Toolkit, an open source machine learning library designed to make executing typical activities in a machine learning project simple.

Article Details

Section

Research Articles

How to Cite

Customer Churn Prediction. (2022). Turkish Journal of Computer and Mathematics Education (TURCOMAT), 13(2), 944-948. https://doi.org/10.17762/turcomat.v13i2.12622

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