Tutorials
Four case studies, one shared arc — the case → the data → problem formulation → features → run → evaluate — modeled on DSSG triage’s Dirty Duck tutorial and extended with the surfaces triage-pg adds (dashboard, in-PG fairness and audition, subset evaluations, monitoring, survival).
| You are… | Start with | You’ll learn |
|---|---|---|
| checking your setup works | Dirty Duckling | a pass/fail smoke test + 5-minute dashboard tour |
| learning temporal ML on policy data | DirtyDuck | the full case study — early warning vs resource prioritization on the same data |
| running something production-shaped | Chicago 311 | fairness auditing, subset evaluations, monitoring, survival |
| deep into feature engineering | DonorsChoose | Deep Feature Synthesis over a multi-stream entity graph |
Read them in order for the full course — smoke test, the two observation regimes on one dataset, the production surfaces, the three signal regimes — or jump to the row that matches you. The onboarding one-pager is the system-at-a-glance map, and the runbook READMEs in the repository stay the terse command references.