Speaker:: Franz Kiraly
Track: PyData: PyData & Scientific Libraries Stack sktime is a widely used scikit-learn compatible library for learning with time series.
The forecasting module of sktime provides a unified, sklearn-compatible, and composable interface to the pydata/numfocus ecosystem and beyond.
This tutorial covers advanced topics in forecasting using sktime: probabilistic forecasting, and forecasting with panel data, including global forecasting and hierarchical forecasting.
A continuation of the sktime introductory tutorial at pydata [link]
Recorded at the PyConDE & PyData Berlin 2022 conference, April 11-13 2022. https://2022.pycon.de More details at the conference page: https://2022.pycon.de/program/GCYTM3 Twitter: https://twitter.com/pydataberlin Twitter: https://twitter.com/pyconde