mlops-prototyping

Installation
SKILL.md

MLOps Prototyping

Goal

To create standardized, reproducible, and production-ready prototypes in Jupyter notebooks. This skill enforces a structured layout (Imports -> Configs -> Load -> EDA -> Modeling -> Eval) and robust engineering practices (Pipelines, Split-Verification) to prevent technical debt and data leakage.

Prerequisites

  • Language: Python 3.14
  • Environment: uv managed project (.venv), with ipykernel in a notebook dependency group
  • Context: Executed within a .ipynb file or converting to one.

Instructions

1. Notebook Structure

Enforce the following linear sections in every notebook to ensure readability and maintainability.

Installs
2
GitHub Stars
22
First Seen
Aug 12, 2026
mlops-prototyping — mlops-courses/mlops-coding-skills