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Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and applying Machine Learning and Deep Learning on it.

License: GNU General Public License v3.0

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churn-modelling-dataset's Introduction

Churn-Modelling-Dataset

Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and applying Machine Learning and Deep Learning on it.

Customer churn refers to when a customer (player, subscriber, user, etc.) ceases his or her relationship with a company. Online businesses typically treat a customer as churned once a particular amount of time has elapsed since the customer's last interaction with the site or service.

A Predictive Churn Model is a tool that defines the steps and stages of customer churn, or a customer leaving your service or product. ... But with an evolving churn model, you can fight for retention by acting on the metrics as they happen

Customer churn occurs when customers or subscribers stop doing business with a company or service, also known as customer attrition. It is also referred as loss of clients or customers. ... Similar concept with predicting employee turnover, we are going to predict customer churn using telecom dataset.

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