- 01. Welcome to SVM
- 02. Separating Line
- 03. Choosing Between Separating Lines
- 04. Maximizing the Margin
- 05. Practice with Margins
- 06. SVMs and Tricky Data Distributions
- 07. SVM Response to Outliers
- 08. SVM Outlier Practice
- 09. Handoff to Katie
- 10. SVM in SKlearn
- 11. Coding Up the SVM
- 12. Nonlinear SVMs
- 13. Nonlinear Data
- 14. A New Feature
- 15. Visualizing the New Feature
- 16. Separating with the New Feature
- 17. Practice Making a New Feature
- 18. Kernel Trick
- 19. Playing Around with Kernel Choices
- 20. Kernel and Gamma
- 21. SVM C Parameter
- 22. SVM Gamma Parameter
- 23. Overfitting
- 24. SVM Strengths and Weaknesses