Overview
This course teaches the main ideas behind Support Vector Machines, including the Polynomial Kernel and the Radial (RBF) Kernel. Participants will learn how to implement Support Vector Machines in Python from start to finish. The course aims to equip learners with the skills to understand and apply Support Vector Machines in real-world scenarios. The teaching method involves a series of three parts covering the main concepts and practical implementation using Python. This course is intended for individuals interested in machine learning, data science, and pattern recognition.
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