training-machine-learning-models
| This skill trains machine learning models using automated workflows. It analyzes datasets, selects appropriate model types (classification, regression, etc.), configures training parameters, trains the model with cross-validation, generates performance metrics, and saves the trained model artifact. Use this skill when the user requests to "train" a model, needs to evaluate a dataset for machine learning purposes, or wants to optimize model performance. The skill supports common frameworks like
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Installation for Agentic Skill
View all platforms →skilz install jeremylongshore/claude-code-plugins-plus-skills/training-machine-learning-models skilz install jeremylongshore/claude-code-plugins-plus-skills/training-machine-learning-models --agent opencode skilz install jeremylongshore/claude-code-plugins-plus-skills/training-machine-learning-models --agent codex skilz install jeremylongshore/claude-code-plugins-plus-skills/training-machine-learning-models --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills cp -r claude-code-plugins-plus-skills/backups/skills-migration-20251108-070147/plugins/ai-ml/ml-model-trainer/skills/ml-model-trainer ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- jeremylongshore (GitHub)
- Repository
- claude-code-plugins-plus-skills
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- learning model skill
- Market Score
- 21.1
Browse Category
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