Machine Learning with R: Logistic Regression Online
Logistic regression in R programming is a classification algorithm used to find the probably of event success and event failure. This workshop will cover an introduction to logistic regression, followed by hands-on training in how to conduct a logistic regression in R, model training, testing accuracy, and how to interpret and visualize results. We will conclude with a Q&A session.
A beginner-level understanding of R-programming and introductory statistical knowledge is required for this workshop.
*Presented by Shaila Jamal (DASH Support Assistant). This virtual workshop will be recorded and shared on the Sherman Centre's website.
More information on Sherman Centre Events can be found on the SCDS Events page.
CODE OF CONDUCT
The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.