Dive into the world of Support Vector Machines (SVMs) through this comprehensive three-part video series, followed by a practical Python implementation. Begin with an exploration of the main concepts and principles behind SVMs, then delve into the intricacies of the Polynomial Kernel, and finally master the Radial (RBF) Kernel. Conclude the learning journey by applying the acquired knowledge in a hands-on Python coding session, guiding you through the entire SVM process from start to finish.
Overview
Syllabus
Support Vector Machines Part 1 (of 3): Main Ideas!!!.
Support Vector Machines Part 2: The Polynomial Kernel (Part 2 of 3).
Support Vector Machines Part 3: The Radial (RBF) Kernel (Part 3 of 3).
Support Vector Machines in Python from Start to Finish..
Taught by
StatQuest with Josh Starmer
