Predicting Customer Churn using Kernel-Support Vector Machines

Managing customer churn is one major challenge facing companies, especially those that offer subscription-based services. Customer churn (aka customer attrition) can be defined as the loss of customers, and it is caused by a change in taste, lack of proper customer relationship strategy, change of residence and several other reasons. In this article, I will employ the superpowers of machine learning to assist a hypothetical company in predicting customer churn. If businesses can effectively predict customer attrition, they can segment those customers that are highly likely to churn and provide better services to them. In this way, they can achieve a high customer retention rate and maximize their revenue.