Implement the SVM algorithm
- Generate sampling points from 2 classes with non-linear distributions (in 2D)
- Apply kernel functions for the classification modeling: linear kernel, Gaussian kernel or other kernels
- Solve the problem by using QP (quadratic programming) via the active set method
- Plot the classification results
- Programming lanuage: python3
- Optional package: tensorflow web
- Plot the results in matplotlib Introduction in Chinese Tutorial
- implement other efficient QP algorithms