Description
Speaker: Thorben Jensen
Track:PyData Feature engineering is crucial for supervised learning (SL), but labor-intensive. Automating this task is less established, compared to other steps of SL. We therefore present and compare approached and open-source libraries for automating this task.
Recorded at the PyConDE & PyData Berlin 2019 conference. https://pycon.de
More details at the conference page: https://de.pycon.org/program/7EEPKX Twitter: https://twitter.com/pydataberlin Twitter: https://twitter.com/pyconde