🗺️ Data Science & Analytics · Journey Playbooks

Playbook: Take a model from notebook to production

Leakage-free validation and deployment-ready artifacts.

journey~60 minData ScientistsAnalystsResearch Scientists

Journey Steps

1Step 1 — Baseline before you boost: start with "Predict the prior/majority class; record its metric as floor"
2Step 2 — Prevent data leakage in ML pipelines: start with "Split temporally when production predicts the future"
3How it fits together: Baselines price complexity. Leakage checks protect the offline-online gap that surprises everyone once.

Commands

Install all referenced skills

$ npx skills add aniruddhaadak80/skills --skill ml-modeling-baseline-first-modeling && npx skills add aniruddhaadak80/skills --skill ml-modeling-leakage-prevention

Tags

#playbook#journey#data-science

Install this skill

$ npx skills add aniruddhaadak80/skills --skill playbook-data-science-ml-to-prod -a opencode

SKILL.md

# Playbook: Take a model from notebook to production

> Leakage-free validation and deployment-ready artifacts.

## When to Use This Skill

Leakage-free validation and deployment-ready artifacts.

## Steps

1. Step 1 — Baseline before you boost: start with "Predict the prior/majority class; record its metric as floor"
2. Step 2 — Prevent data leakage in ML pipelines: start with "Split temporally when production predicts the future"
3. How it fits together: Baselines price complexity. Leakage checks protect the offline-online gap that surprises everyone once.

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