Machine Learning with R: Support Vector Machine (SVM) Classification

Support Vector Machine (SVM) is a supervised machine learning algorithm used for both classification and regression. This workshop will only cover the theoretical and practical parts of SVM classification as SVM is mostly used in classification problems. After the introduction, participants will receive hands-on training in the implementation of SVM classification in R, as well as training and testing datasets and setting up tuning and kernal parameters. 

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.