BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260708T205220Z
UID:9ea12b33-1efc-4e65-ae30-744c5c045530
DTSTART:20191218T083000Z
DTEND:20191218T170000Z
DESCRIPTION:The rapid growth of artificial intelligence and data science ha
 s made scikit-learn one of the most popular Python libraries. The tutorial
  will present the main components of scikit-learn\, covering aspects such 
 as standard classifiers and regressors\, cross-validation\, or pipeline co
 nstruction\, with examples from various fields of application. Hands-on se
 ssions will focus on medical applications\, such as classification for com
 puter-aided diagnosis or regression for the prediction of clinical scores.
 \n\nLearning outcomes :\n\nAbility to solve a real-world machine learning
  problem with scikit-learn\n\nPrerequisites :\n\n\n	Basic knowledge of Pyt
 hon (pandas\, numpy)\n	Notions of machine learning\n	No prior medical know
 ledge is required\n\nhttps://events.prace-ri.eu/event/933/
SUMMARY:Introduction to machine learning in Python with Scikit-learn @ MdlS
 /ICM
URL;VALUE=URI:https://events.prace-ri.eu/event/933/
END:VEVENT
END:VCALENDAR