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Machine Learning with R: SVM Classification

Workshop Title Slide

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.

Presentation by Shaila Jamal, DASH Support Assistant and PhD Candidate in Earth, Environment, and Society. Book an appointment with Shaila or another member of the DASH Team.

This event is run in collaboration with the YWCA’s Uplift Program, which supports women and non-binary people re-skilling to enter the tech industry.

Workshop preparation

Preparation for this tutorial consists of two steps: Getting the data and Getting the software. Follow the steps below.

Get the data

Access the files mentioned in the workshop.

Get the software

This hands-on workshop uses R, a software application for data analysis. The program is free to download.

Workshop Recording

View the original here.

Workshop Slides

Download as a PDF