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The goal of this project is to predict customer churn in a Telecommunication company. We will explore 8 predictive analytic models to assess customers’ propensity or risk to churn. These models can generate a list of customers who are most vulnerable to churn, so that business can work towards retaining them. In this dataset of over 7000 customers, 26% of them has left in the last month. This is critical to the Telco business because it is often more expensive to acquire new customers than to keep existing ones.