experiment-tracking-setup

Guide for experiment tracking tool setup (MLflow, Weights & Biases, etc.), reproducibility assurance, model registry, and experiment comparison methodology. Use this skill for ML experiment management involving 'experiment tracking', 'MLflow', 'W&B', 'Weights and Biases', 'reproducibility', 'model registry', 'experiment comparison', 'hyperparameter logging', etc. Enhances the training-manager's experiment management capabilities. Note: model architecture design and feature engineering are outside this skill's scope.