Tag: data science

A fixture-backed comparison that holds the BLS source, transformations, K-means settings, and acceptance criteria constant, then asks what Elixir and Python make easier to inspect and trust.

A software-developer guide to the statistics that actually change data-science decisions: samples, estimates, uncertainty, effect size, bias, probability, distributions, and model metrics.