ml-experiment-tracker

Installation
SKILL.md

ML Experiment Tracker

This skill provides guidance for systematic machine learning experimentation with proper tracking, versioning, and reproducibility practices.

Core Competencies

  • Experiment Tracking: MLflow, Weights & Biases (wandb), Neptune, Comet
  • Data Versioning: DVC, Delta Lake, LakeFS
  • Model Registry: Version control for trained models
  • Reproducibility: Environment, code, data, and hyperparameter tracking

Experiment Tracking Fundamentals

What to Track

Every experiment should log:

Category Items Why
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First Seen
Mar 9, 2026