In this article, we will walk through an example of a classification problem that is more complex. We will attempt to classify points within concentric circles. Linear or logistic regression algorithms are not suited for this kind of classification, so we need something more powerful. For this …

This article covers a topic in discrete mathematics that often goes unnoticed in data science and data visualization. Here I will attempt to show the relevance of the cartesian product in what we do as data scientists. NOTE: The author assumes basic understanding of set notation, and a grasp of …

NOTE: all figures in this post were made by the author using \(\LaTeX\), numpy, and matplotlib We use distance formulas in \(k\)-NN to determine the proximity of data points in order to make predictions or classifications based on the neighbors. There are many ways to measure similarity, along with …