This quiz tests your understanding of Support Vector Machines.
There is a time limit of 10 minutes per question just to make it more fun, but you should be able to answer the questions well under the limit.
Best of luck!
The MNIST dataset is also a good dataset for applying SVMs. If you’d like to play around with SVMs, load the MNIST dataset as demonstrated in Hands-on Project: Digit classification with K-Nearest Neighbors and Data Augmentation. Then, try the following SVMs variations on the data.
- Different kernels: Linear, Polynomial, and Gaussian (RBF)
- Different values of regularization (exposed as C by
sklearn SVM documentation is available here: sklearn.svm.SVC.
Onto the quiz!