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
