**Python Machine Learning**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 Support Vector Machines**Scikit-Learn Developers. (2020). Support Vector Machines.

**This resource is the official scikit-learn Support Vector Machine page.****Scikit-Learn Nearest Neighbors**Scikit-Learn Developers. (2020). Nearest Neighbors Method.

**This resource is the official scikit-learn K-Nearest Neighbors page.****Develop k-Nearest Neighbors in Python from Scratch**Brownlee, J. (2019). Develop k-Nearest Neighbors in Python from Scratch.

**This tutorial covers the steps needed to implement the k-Nearest Neighbors algorithm.**

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