TIM-6500: Principles of Data Science

Lee, W. (2019). Python machine learning. ProQuest Ebook Central.
Read Chapter 8, Supervised Learning-Classification Using Support Vector Machines.
Read Chapter 9, Supervised Learning-Classification Using K-Nearest Neighbors (KNN).
Chapter 8 details how the support vector machine algorithm classifies two or more classes.
Chapter 9 details how the K-Nearest Neighbors algorithm classifies a query instance based on "neighbors" surrounding the instance. This chapter also details the Euclidean distance function.

Scikit-Learn Developers. (2020). Support Vector Machines.
This resource is the official scikit-learn Support Vector Machine page.

Scikit-Learn Developers. (2020). Nearest Neighbors Method.
This resource is the official scikit-learn K-Nearest Neighbors page.

Brownlee, J. (2019). Develop k-Nearest Neighbors in Python from Scratch.
This tutorial covers the steps needed to implement the k-Nearest Neighbors algorithm.