Automated ML is a game changer for Data Scientists who can now focus on features enginnering and model interpretation. How does it work in a citizen way or with the Python SDK automl.core ? What are the beneficits of this approach ? Which are the common mistakes with the User Interface and all the possibilities with the code ? Is it a too much "closed box" way ? No, because we now have time to interpret !

Demonstration with the GUI and Jupyter notebooks on a regression or classification task