3. Orchestration and ML Pipelines 3.0 Introduction: ML pipelines and Mage 3.1 Data preparation: ETL and feature engineering 3.2 Training: sklearn models and XGBoost 3.3 Observability: Monitoring and alerting 3.4 Triggering: Inference and retraining 3.5 Deploying: Running operations in production 3.6 Homework. Quickstart See the Unit 3.0 for a Quick Start guide Need help? Developer documentation AI chat bot Live chat with the Mage team directly Notes previous editions 2022 Prefect notes 2023 Prefect notes