ML pipeline design, feature engineering, model training/serving, experiment tracking, model validation, and MLOps principles.
How to install ml-engineering?
irahardianto/awesome-agv/ml-engineering
$npx -y skills add irahardianto/awesome-agv --skill ml-engineeringInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/irahardianto/awesome-agv" --skill "irahardianto/awesome-agv/ml-engineering"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/irahardianto/awesome-agv" that are relevant to the current task. Run `npx skills add "https://github.com/irahardianto/awesome-agv"` and select the relevant skills, then follow their instructions.
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