Machine Learning with R: K-Means Clustering

This workshop will cover K-Means Clustering, a powerful machine-learning technique used for data segmentation and pattern recognition. K-Means is the most common clustering technique for unsupervised Machine learning. Learning outcomes: This workshop will provide participants with the knowledge and hands-on experience they need to harness the potential of K-Means Clustering.

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.