Skip to Content
Log In
Sign Up

Creative Coding with Codecademy #7: Machine Learning Visualized

Learn how to create a visualization of the popular K-Nearest Neighbor algorithm using p5

Tue April 20, 2021 at 8:00 PM UTC

Event Information

In this session, we’ll dip our toes into the world of Machine Learning as we use p5 to visualize the K-Nearest Neighbors algorithm. We’ll spend the first part of the session learning how the KNN algorithm works, and then stretch our creative coding muscles to make an interactive visualization of the algorithm.


Headshot of Jiwon Shin

Jiwon Shin

Curriculum Developer

Jiwon is a Curriculum Developer focusing on web development content. Prior to Codecademy, she taught web development and creative coding in universities as resident research fellow.

Headshot of Alex Kuntz

Alex Kuntz


Alex is a Senior Curriculum Developer, specializing in Data Science. Before working at Codecademy, Alex taught high school computer science classes.

Join Codecademy to gain access to this event.

By signing up for Codecademy, you agree to Codecademy's Terms of Service & Privacy Policy.