Supervised Machine Learning: Support Vector Machines (SVMs)

This workshop will introduce participants to Supervised Machine Learning (SML) and Support Vector Machines (SVMs) using Python’s Scikit-learn library. We’ll start with a brief explanation of Anaconda and the Jupyter notebook environment (although not required for the participant, the instructor will be using these tools). We’ll then introduce fundamental concepts related to both SMLs and SVMs, but the main focus of the workshop will be on using Python and Scikit-learn SVMs to solve SMLs problems. Accordingly, we’ll use a couple of example datasets to demonstrate how to create, apply and test SVM models using Scikit-learn. Although not required, we recommend all participants to have a basic knowledge of Python.