Churn Is Not a Data Science Problem
My old churn analysis capstone post has somehow become one of the most popular posts on this blog over the last year. I did not expect that. At the time, churn looked like a neat data science problem to me. You get a dataset, clean it, engineer some features, train a model, check the metrics, maybe explain feature importance, and then recommend a few retention ideas. It is a good project shape. Business problem, dataset, model, metric, interpretation. Very neat, if I may call it that. Very portfolio-friendly. ...