In the first article, I focused on how a data science repository is structured and why that structure supports MLOps practices like repeatability, traceability, and safe iteration. In this follow-on post, I want to zoom in on the machine learning problem itself: the classification task implemented in the repository. The goal here is not to... Continue Reading →