TLDR
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.via the TL;DR App
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Written by jnyh | perpetual student | fitness enthusiast | passionate explorer | https://github.com/jnyh
