Predict Customer Churn with Neural Network

In real-world situations, data scientists often start an analysis with a simple and easy to implement model such as linear or logistic regression. There are various advantages of this approach such as getting a sense of the data with a minimum cost and giving food for thoughts on how to solve a business problem. In this blog post, I decided to start from the opposite side by applying a multilayer perceptron model (neural network) to predict customer churn. I think it is quite fun and exciting to try different algorithms or at least to know how you can solve a problem in a more sophisticated way. Customer churn is when a customer decides to stop using services, content, or products from a company.