Machine Learning for Data Engineers: The Patterns I Actually Used Across 7 Projects

Not a data scientist, but I've shipped ML models in production across 7 projects. XGBoost regression, 109 Prophet forecasts, SHAP explainability, FinBERT sentiment, and pgvector embeddings -- here's what the stack looks like from a DE's perspective.

Raccontata dadev.to