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DESCRIPTION:[This is session 2 in the series  Introduction to Machine Learn
 ing in Python]\n\nDate: Friday\, 24 February 2023.\n	Time: 10 a.m. to 12 p.
 m.\n	Location: hybrid (in-person at Burnside Hall 1104\, and online via Zoo
 m).\n	Instructors: Jacob Errington\, Faculty Lecturer\, and Eric Mayhew\, g
 raduate student\, School of Computer Science\, ������.\n\n \n\n
 Overview:\n\nThis workshop lesson will dive into regression and the proces
 s of data cleaning in machine learning. We will explore what regression is
  and how it differs from classification (to be covered later\, in session 
 4). In terms of algorithms\, we will discuss how decision trees and suppor
 t vector machines are used to do regression tasks. This workshop will intr
 oduce you to these types of machine learning models in a hands-on way. We 
 will also cover the data collection process of the machine learning pipeli
 ne.\n\nBy the end of the workshop\, participants will be able to:\n	   - De
 scribe plainly how decision trees and support vector machines work\;\n	   -
  Given a scaffolded environment and curated data set\, train a decision tr
 ee and describe how this algorithm works at a high level\;\n	   - Articulat
 e the data collection process along with common problems in data collectio
 n.\n\nPrerequisites: \n	     · Participants should already have some famili
 arity with Python programming fundamentals\, e.g. loops\, conditional exec
 ution\, importing modules\, and calling functions. Furthermore\, participa
 nts should ideally have attended the first lesson in the “Fundamentals of 
 Machine Learning in Python” series\, or they should already have some back
 ground on the general machine learning pipeline.\n	      · You need to brin
 g your own laptop for this workshop. Contact us if you would like to atten
 d but it's impossible for you to bring a laptop.\n	      · Install Anaconda
  on your computer. You can find installation instructions here. Please con
 tact us (cdsi.science [at] mcgill.ca) if you are having trouble with insta
 llation.\n\n \n\nRegister\n\n \n
DTSTART:20230224T150000Z
DTEND:20230224T170000Z
SUMMARY:Introduction to regression and data collection
URL:/cdsi/channels/event/introduction-regression-and-d
 ata-collection-346171
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