Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit

This talk demonstrates a Python workflow for tracking machine learning experiments with DVC and building Streamlit apps to inspect and test trained models. A cat-versus-dog image classifier serves as the example; the focus is on tooling rather than the algorithm.