ml-model-training
This skill provides comprehensive guidance and code examples for training machine learning models using scikit-learn, PyTorch, and TensorFlow, covering data preparation, model selection, training workflows, evaluation, and best practices to prevent common issues like overfitting and data leakage.
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 secondsky-claude-skills-ml-model-training
Repository
Skill path: plugins/ml-model-training/skills/ml-model-training
This skill provides comprehensive guidance and code examples for training machine learning models using scikit-learn, PyTorch, and TensorFlow, covering data preparation, model selection, training workflows, evaluation, and best practices to prevent common issues like overfitting and data leakage.
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: secondsky.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install ml-model-training into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/secondsky/claude-skills before adding ml-model-training to shared team environments
- Use ml-model-training for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.