Part 25-Support Vector Machines, the Kernel trick

Chapters:
0:00 The big picture
2:58 The road map
3:51 What is the Kernel trick?
6:00 SVM optimization problem
9:17 the RBF Kernel
17:15 the SVM hyperparameters and how to tune them
20:58 More Kernel examples
25:15 Comparing classifiers (so far)

In this crash course, I will be reviewing the basics and fundamental concepts of machine learning and its applications in finance.
For watching my full lecture videos and applications of machine learning using Python, please check out the "Machine Learning in finance-2021" playlist on my channel.
All the codes and slides are available on my GitHub account.
Cheers,
Pedram