Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
follows a quadratic distribution """ x = [] y = [] target = [] for i in range(size): # class zero x.append(np.round(random.uniform(0, 2.5), 1)) y.append(np.round(random.uniform(0, 20), 1)) target.append(0) # class one x.append(np.round(random.uniform(1, 5), 2)) y.append(np.round(random.uniform(20,