ADVANCED • Time Series and NLP

Data Pipeline Drill for retail demand forecasting #11

This lesson focuses on strengthen experiment tracking using a practical retail demand forecasting 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.