Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
np.vstack([XX.ravel(), YY.ravel()]).T train_size = len(features[:-test_size]['x']) # Assigning different colors to the classes colors = y_train colors = np.where(colors == 1, '#8C7298', '#4786D1') # Plot the dataset ax.scatter(features[:-test_size]['x'], features[:-test_size]['y'], c=colors) # Get