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In this coding challenge, I create a movie recommendation engine using the a “nearest neighbor” algorithm. In this third (and final) part, I use the K-Nearest Neighbor Machine Learning algorithm to predict ratings for movies I haven’t seen yet.
This video is part of session 3 of my Spring 2017 ITP “Intelligence and Learning” course (
Link to Part 1:
Link to Part 2:
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Links discussed in this video:
The Nature of Code Part 2 (Spring 2017) – Intelligence and Learning:
Notes on Pearson’s correlation coefficient:
ITP Thesis 2017:
Source Code for the all Video Lessons:
p5.js:
Processing:
For More Coding Challenges:
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