In this video, part of my series on "Machine Learning", I explain how to perform Linear Regression for a 2D dataset using the Ordinary Least Squares method. In Part 2, I demonstrate how to code the algorithm in JavaScript, using the p5.js library
This video is part of session 3 of my Spring 2017 ITP "Intelligence and Learning" course (https://github.com/shiffman/NOCS172...)
Link to Part 2: • 3.3: Linear Regression with Ordinary ...
Support this channel on Patreon: / codingtrain
To buy Coding Train merchandise: https://www.designbyhumans.com/shop/c...
Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbo...
Contact:
Twitter: / shiffman
The Coding Train website: http://thecodingtrain.com/
Links discussed in this video:
Session 3 of Intelligence and Learning: https://github.com/shiffman/NOCS172...
Nature of Code: http://natureofcode.com/
kwichmann's Linear Regression Diagnostics: https://kwichmann.github.io/ml_sandbo...
Linear Regression on Wikipedia: https://en.wikipedia.org/wiki/Linear_...
Anscombe's quartet on Wikipedia: https://en.wikipedia.org/wiki/Anscomb...
Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbo...
p5.js: https://p5js.org/
Processing: https://processing.org
For More Coding Challenges: • Coding Challenges
For More Intelligence and Learning: • Intelligence and Learning
Help us caption & translate this video!
http://amara.org/v/7UbL/
Code of Conduct: https://github.com/CodingTrain/Codeo...