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PRODID:-//pretalx//global2024.pydata.org//cfp//VYUZW8
BEGIN:VEVENT
UID:pretalx-cfp-FQYSMB@global2024.pydata.org
DTSTART:20241203T133000Z
DTEND:20241203T150000Z
DESCRIPTION:skchange is a python compatible framework library for detecting
  anomalies\, changepoints in time series\, and segmentation.\n\nskchange i
 s based on and extends sktime\, the most widely used scikit-learn compatib
 le framework library for learning with time series. Both packages are main
 tained under permissive license\, easily extensible by anyone\, and intero
 perable with the python data science stack.\n\nThis workshop gives a hands
 -on introduction to the new joint detection interface developed in skchang
 e and sktime\, for detecting point anomalies\, changepoints\, and segment 
 anomalies\, in unsupervised\, semi-supervised\, and supervised settings.
DTSTAMP:20250709T220256Z
LOCATION:Data/ Data Science Track
SUMMARY:skchange & sktime – time series anomaly detection\, changepoint d
 etection\, segmentation - Franz Kiraly\, Martin Tveten\, Christopher Risi
URL:https://global2024.pydata.org/cfp/talk/FQYSMB/
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