Chapters:
0:00 The road map
1:08 Maximum Margin Classifier (Hard margin)
2:54 MMC optimization problem
12:14 Beyond hard margin
16:50 Support Vector Classifiers (Soft margin)
26:25 SVC optimization problem
30:50 Regularization in SVC
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