Engineering neural networks from scratch with Python — Back in 2018, I first watched The Coding Train’s series on constructing neural networks from scratch with javascript. I felt it was pretty cool and have since wanted to make my own hacky, from-scratch implementation with python. As I go along, I’ll attempt to explain my thought process using layman’s…

Exploring the mathematics and methodology behind the K-Nearest Neighbors Algorithm, Traditional Train/Test Split, and Repeated K-Fold Cross Validation — This article contains in-depth algorithm overviews of the K-Nearest Neighbors algorithm (Classification and Regression) as well as the following Model Validation techniques: Traditional Train/Test Split and Repeated K-Fold Cross Validation. The algorithm overviews include detailed descriptions of the methodologies and mathematics that occur internally with accompanying concrete examples. Also included…