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Machine Learning with R: Logistic Regression

Machine Learning with R: Logistic Regression Online

In this beginner-level session, attendees will learn the fundamentals of using R programming for machine learning, with a specific focus on logistic regression. No prior expertise in R or machine learning is required.

If you are new to R and would like to familiarize yourself ahead of this workshop (including set-up and preparation), see our Introduction to R Programming.

Details: This virtual workshop will be recorded. The recording will be posted to the Sherman Centre's Online Learning Catalogue.

Facilitator Bio: Humayun Kabir is a master’s student in Health Research Methodology at the Department of Health Research Methods, Evidence, and Impact at McMaster University. He provides support to the quantitative research data at the DASH, McMaster University Library.

Friday, March 22, 2024
4:30pm - 6:10pm
Time Zone:
Eastern Time - US & Canada (change)
This is an online event. Event URL will be sent via registration email.
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Registration has closed.

More information on Sherman Centre Events can be found on the SCDS Events page.


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.

Event Organizer

Humayun Kabir

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