ADVANCED • MLOps and Reproducibility

Data Pipeline Drill for personalized recommendation prototype #11

This lesson focuses on prevent data leakage using a practical personalized recommendation prototype scenario. You will apply commands: torch.utils.data.DataLoader | mlflow.start_run() | onnx.export(). The code example demonstrates a concrete workflow aligned with this lesson objective, not generic filler.