Machine Learning, Data Science, Deep Learning, Artificial Intelligence, Regression.
as illustrated below: X = np.arange(-5.0, 5.0, 0.1) Y = 1.0 / (1.0 + np.exp(-X)) plt.plot(X,Y) plt.ylabel('Dependent Variable') plt.xlabel('Indepdendent Variable') plt.show() Building The Model Now, let’s build our regression model and initialize its parameters. def sigmoid(x, Beta_1, Beta_2): y =