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DTSTART:20001029T040000
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UID:pretalx-europython-2023-CRTSNK-0@programme.europython.eu
DTSTART;TZID=CET:20230717T093000
DTEND;TZID=CET:20230717T110000
DESCRIPTION:This tutorial presents sktime - a unified\, open source framewo
 rk for machine learning with time series in python. sktime provides interf
 aces to algorithms of various types\, and modular tools for pipelining\, c
 omposition\, and tuning. You will learn how identify your learning task\, 
 and how to build\, use\, and evaluate different algorithms on real-world d
 ata sets.\n\nAll tutorial notebooks are available in this repository and r
 unnable from the cloud:\nhttps://github.com/sktime/sktime-tutorial-europyt
 hon-2023
DTSTAMP:20260513T161428Z
LOCATION:Club B
SUMMARY:sktime - python toolbox for time series - Franz Kiraly\, Sagar Mish
 ra\, Kiril Ralinovski
URL:https://programme.europython.eu/europython-2023/talk/CRTSNK/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-europython-2023-CRTSNK-1@programme.europython.eu
DTSTART;TZID=CET:20230717T111500
DTEND;TZID=CET:20230717T124500
DESCRIPTION:This tutorial presents sktime - a unified\, open source framewo
 rk for machine learning with time series in python. sktime provides interf
 aces to algorithms of various types\, and modular tools for pipelining\, c
 omposition\, and tuning. You will learn how identify your learning task\, 
 and how to build\, use\, and evaluate different algorithms on real-world d
 ata sets.\n\nAll tutorial notebooks are available in this repository and r
 unnable from the cloud:\nhttps://github.com/sktime/sktime-tutorial-europyt
 hon-2023
DTSTAMP:20260513T161428Z
LOCATION:Club B
SUMMARY:sktime - python toolbox for time series - Franz Kiraly\, Sagar Mish
 ra\, Kiril Ralinovski
URL:https://programme.europython.eu/europython-2023/talk/CRTSNK/
END:VEVENT
END:VCALENDAR