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: Cross Validation: 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: 2) The Polynomial Kernel is also based on the Kernel used by scikit-learn: For a complete index of all the StatQuest videos, check out: If you'd like to support StatQuest, please consider... Patreon: ...or... YouTube Membership: ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... ...or just donating to StatQuest! Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: #statquest #SVM #kernel