Using k-Nearest Neighbors (kNN) in Python

Course Description

Skill level: intermediate

In this video course, you'll learn all about the k-nearest neighbors (kNN) algorithm in Python, including how to implement kNN from scratch. Once you understand how kNN works, you'll use scikit-learn to facilitate your coding process.

1. Using k-Nearest Neighbors (kNN) in Python (Overview)

2. Distinguishing Features of kNN

3. Predicting the Age of Sea Snails

4. Understanding How kNN Works

5. Coding kNN From Scratch: Data and Distances

6. Coding kNN From Scratch: Neighbors and Predictions

7. Using kNN in scikit-learn: Data, Fit, and Predict

8. Using kNN in scikit-learn: Score and Update k

9. Using k-Nearest Neighbors (kNN) in Python (Summary)

View Course Details »

This person’s account is verified and was created on March 5, 2024. Real Python certifies their completion of the Using k-Nearest Neighbors (kNN) in Python course on May 27, 2025.

Real Python is an online learning platform and expert community for Python software developers. It offers interactive online classes and in-depth tutorials created by a team of subject matter experts.