Customer churn is one of the most important aspects of a business. Especially in a telecommunication setting where a customer produces monthly recurrent revenue, the loss of customers can have a significant impact on the long term financial standing of the company. This notebook aims to provide a holistic approach to the telecommunications company. One the one hand, through exploratory data analysis, it aims to provide valuable feedback regarding the reasons that customers churn, thus providing useful insight for the company to minimize those reasons. On the other hand, it provides an accurate model to predict potentially churning customers, thus giving the company one more opportunity to follow a proactive approach to keep the customers.
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Through exploratory data analysis, predictive analytics and explainable AI, this project aims to provide valuable feedback regarding the reasons that customers churn, thus providing useful insight for the company to minimize customer churn.
DimitriosTagkoulis/TelcoCustomerChurn
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Through exploratory data analysis, predictive analytics and explainable AI, this project aims to provide valuable feedback regarding the reasons that customers churn, thus providing useful insight for the company to minimize customer churn.
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