Machine Learning, Support Vector Machine, Support Vector Classifier, Data Scie, Svm.
classifier = LinearSVC(random_state = 0) classifier.fit(X_train, y_train) NB: if you want to use linear SVC you can import sklearn.svm.SVC and set the parameter kernel to ‘linear’, but it will be faster to use sklearn.svm.LinearSVC due to certain peculiarities of the algorithm. Now let’s visualize