Deep Learning for Churn Prediction.

Deep Learning is not a so new research area, but if we think about its applications with the development of computing power and data availability, one could say that this practice is in a sustainable growth route, since 2012. The applications are endless and very diverse, which can include, for instance, Automating Driving, Health Checks, Home System Devices like Alexa, or even to study the universe, in which a deep learning algorithm was used to get the first image of a black hole. Nonetheless, there are a lot of expectations involved in Deep Learning and we could say that there are some myths also. This article aims to show some deep learning techniques, presenting some code of a practical example, in a not-so-large dataset. We applied some deep learning techniques in a sample of 2,711 clients of an investment advisory company.