model-interpretation
WalrusQuant
Interpret sports models using held-out predictions, coefficients, error slices, largest misses, calibration context, and stability checks. Use after time-aware evaluatio…
OPENAGENTSKILL / DIRECTORY
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Results: 24
WalrusQuant
Interpret sports models using held-out predictions, coefficients, error slices, largest misses, calibration context, and stability checks. Use after time-aware evaluatio…
WalrusQuant
Record sports-modeling experiments with the hypothesis, data cut, validation charter, metrics, leakage status, decision, commands, and artifacts. Use for trials, model c…
WalrusQuant
Choose public sports data sources for a modeling question across NFL, NBA, MLB, NHL, college sports, soccer, and more. Use before acquisition code or whenever source cov…
op7418
Analyze one or more cycling, running, or hiking FIT/KML activity tracks, generate evidence-based single or aggregate reports, open the bundled local Ride Relief report p…
WalrusQuant
Load MLB Statcast, batting, pitching, standings, and player lookup data directly with pybaseball. Use for bounded pitch-level pulls, season tables, schema checks, and us…
OpenOrienteering
OpenOrienteering Mapper is a software for creating maps for the orienteering sport.
jrbadiabo
Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)
wondelai
Apply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX",…
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