The answer says there are no hyperparameters in linear SVM but isn’t penalty © one?
Hyperparameters in SVM
Hey @samriddhijain2000, by linear svm in the question, the question mean that the data which is completely linearly separable, meaning there are no outliers present, and so there is no need to introduce error term, and hence C =0 or better assume that c is not present. There is little ambiguity within the question, which makes it difficult to infer.
Happy Lerning 
, and plz close the doubt if you find it is resolved.