Practicing Safe Selects: Avoiding the Shame & Embarrassment of Sleazy Forecast Model Choice in a Machine Learning World

Python’s amazing array of mathematical tools (from easy scripting of equations to whole libraries of pre-assembled operations) mask the danger of constructing a forecasting tool unsuited to real world use. Rather than fix things post-hoc, let’s address forecasting from a First Principles approach.

About Thomas McGinnis