BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Office of Advanced Research Computing - ECPv6.0.10//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Office of Advanced Research Computing
X-ORIGINAL-URL:https://oarc.rutgers.edu
X-WR-CALDESC:Events for Office of Advanced Research Computing
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220311T140000
DTEND;TZID=America/New_York:20220311T170000
DTSTAMP:20260407T153012
CREATED:20211130T222453Z
LAST-MODIFIED:20221128T154854Z
UID:6179-1647007200-1647018000@oarc.rutgers.edu
SUMMARY:Machine Learning with Python and Scikit-Learn
DESCRIPTION:Amarel account: Apply here as soon as possible. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN  to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. \nWorkshop content: In this three hour workshop\, we will go through the basics of unsupervised and supervised methods\, discuss some of the popular models such as Support Vector Machines\, Decision Trees\, and Random Forest\, and show how these models work for classification and regression problems. \n**NOTE** Just observing is welcome\, but to participate in hands-on activities\, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible). \nIf you have questions or need help\, please contact Bala Desinghu.
URL:https://oarc.rutgers.edu/event/machine-learning-with-python-and-scikit-learn-3-11-22/
END:VEVENT
END:VCALENDAR