Project overview
Apply a seven-stage methodology that takes tabular data from cleaning and exploration through feature engineering, modeling, diagnosis, and an interpretable report. The workflow emphasizes leakage checks, baseline comparisons, cross-validation, and honest failure analysis rather than chasing a single score. It can run as a Claude Skill or as a portable prompt for other language models, with output adapted to the user's language.
Repository facts
- Primary language
- Not detected
- License
- MIT
- Repository updated
- May 30, 2026
- Default branch
- main
Resource types
General skill
Use cases
Data and analytics
Platforms
Claude Code, Codex, and more
Capabilities
Verification and evals