This post aims to dissect the steps in performing logistic regression on a single sample. This also covers some explanation on cross-entropy loss.

# Category Archives: ML Algorithms

## Love your k Nearest Neighbors : The Basics

How does kNN work? How does it find nearest neighbors? How does it work in Python?

## Support Vector Machines for Classification

In this post, I’ll discuss what a hyperplane is, what SVM does, and the basics of how to get the optimal hyperplane in both linear and non-linear data.