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Machine Learning with R: Random Forest Classification Approach

Machine Learning with R: Random Forest Classification Approach Online

Join us for a workshop on Random Forest. Random Forest is an ensemble machine learning technique used for both classification and regression tasks. It is based on the concept of decision trees, where multiple decision trees are trained on different subsets of the data, and their predictions are combined to produce a more accurate and robust final prediction. 

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

Facilitator Bio: Amirreza is a Master’s student in the Electrical and Computer Engineering department of McMaster University with 8 years of experience in different programming languages.

Friday, March 8, 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

Amirreza Mousavi

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