Machine Learning, Data Science, Data Scientist, Mlops, Algorithms.
y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # Creating and training the SVM model svm_model = SVC() svm_model.fit(X_train, y_train) # Predicting the test set results y_pred_svm = svm_model.predict(X_test) # Evaluating the model accuracy_svm = accuracy_score(y_test,