Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3) @statquest
Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)  @statquest
Uploaded November 2019 | Updated September 2026, 1 week ago
Support Vector Machines use kernel functions to do all the hard work and this StatQuest dives deep into one of the most popular: The Polynomial Kernel. We talk about the parameter values and how they calculate high-dimensional coordinates via the dot-product and high-dimensional relationships

NOTE: This StatQuest assumes you already know about...
Support Vector Machines: youtu.be/efR1C6CvhmE
Cross Validation: youtu.be/fSytzGwwBVw

ALSO NOTE: This StatQuest is based on...
1) The description of Kernel Functions, and associated concepts on pages 352 to 353 of the Introduction to Statistical Learning in R: http://faculty.marshall.usc.edu/gareth-james/ISL/
2) The Polynomial Kernel is also based on the Kernel used by scikit-learn: scikit-learn.org/stable/modules/svm.html

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Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)Luis Serrano + Josh Starmer Q&A Livestream!!!Another three (3) more lessons from my Pop!Power Analysis, Clearly Explained!!!Troll 2, Clearly Explained!!!StatQuest: Career Advice from Tech Industry LeadersRidge vs Lasso Regression, Visualized!!!Bootstrapping Main Ideas!!!The Elements of StatQuest (Webinar)The Central Limit Theorem, Clearly Explained!!!Long Short-Term Memory (LSTM), Clearly ExplainedLogistic vs Logit Functions
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Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3)

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