Experiment Tracking with MLflow

Start here (hands-on): MLflow Tracking Quickstart → https://mlflow.org/docs/latest/ml/tracking/quickstart/

Goal: Learn to track every training run's parameters, metrics, and artifacts in MLflow and promote models from staging to production with the model registry, so your best model is reproducible and auditable.

Do:

1. Work through the tracking quickstart above ⬆️

2. Then learn the model registry (staging to production) https://mlflow.org/docs/latest/ml/model-registry/