- 01. Intro
- 02. Which line is better?
- 03. Minimizing Distances
- 04. Error Function Intuition
- 05. Perceptron Algorithm
- 06. Classification Error
- 07. Margin Error
- 08. (Optional) Margin Error Calculation
- 09. Error Function
- 10. The C Parameter
- 11. Polynomial Kernel 1
- 12. Polynomial Kernel 2
- 13. Polynomial Kernel 3
- 14. RBF Kernel 1
- 15. RBF Kernel 2
- 16. RBF Kernel 3
- 17. SVMs in sklearn
- 18. Recap & Additional Resources