An interactive illustration of how support vector machines work
How do support vector machines work, anyway? This little page gives an interactive way to explore this question, by applying different kernels to a synthetic data set, along with some theory to explain what is going on.
This was originally an assignment in a course on machine learning, but I went above and beyond to provide this interactive visualisation instead of just writing a static report on it. The full code behind the project is available in this GitHub repository.
Jun 12, 2022
