When doing time-series modelling, you often end up in a situation where you want to make long-term predictions for multiple, related, time-series. In this talk, we’ll build an hierarchical version of Facebook’s Prophet package to do exactly that.
Matthijs is a data scientist, active in Amsterdam, The Netherlands. His current work involves training junior data scientists at Xccelerated.io. This means he divides his time between building new training materials and exercises, giving live trainings and acting as a sparring partner for the Xccelerators at his partner firms, as well as doing some consulting work on the side.
Matthijs spent a fair amount of time contributing to his open scientific computing ecosystem through various means. He maintains open source packages (scikit-lego, seers) as well as co-chairs the PyData Amsterdam conference and meetup and vice-chair the PyData Global conference.
In his spare time he likes to go mountain biking, bouldering, do some woodworking or go scuba diving.
This is a PyMCon 2020 talk
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