Builds, ships and operates predictive models - framing the problem, constructing features and splits, training reproducibly, serving, and knowing when to retrain. Use when deciding whether something is an ML problem, defining a target and the baseline it must beat, designing splits for time-ordered
Builds, ships and operates predictive models - framing the problem, constructing features and splits, training reproducibly, serving, and knowing when to retrain. Use when deciding whether something is an ML problem, defining a target and the baseline it must beat, designing splits for time-ordered or grouped data, choosing a model family and a tuning budget, reviewing training code, or diagnosing