ml-pipeline
Build end-to-end ML pipelines with sklearn Pipeline, feature engineering, and model training. Use when creating reproducible ML workflows or productionizing models.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install gizix-cc-projects-ml-pipeline
Repository
Skill path: jupyter-ml-template/.claude/skills/ml-pipeline
Build end-to-end ML pipelines with sklearn Pipeline, feature engineering, and model training. Use when creating reproducible ML workflows or productionizing models.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: gizix.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install ml-pipeline into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/gizix/cc_projects before adding ml-pipeline to shared team environments
- Use ml-pipeline for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.