tuning-hyperparameters
Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model".
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 bbgnsurftech-claude-skills-collection-hyperparameter-tuner
Repository
Skill path: plugins/claude-code-plugins-plus/plugins/ai-ml/hyperparameter-tuner/skills/hyperparameter-tuner
Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model".
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: BbgnsurfTech.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install tuning-hyperparameters into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/BbgnsurfTech/claude-skills-collection before adding tuning-hyperparameters to shared team environments
- Use tuning-hyperparameters for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.