Mle, Machine Learning Models, Maximum Likelihood, Logistic Regression, Practical Mle.
np.c_[np.ones(x_values.shape[0]), x_values] predicted_probabilities = logistic.cdf(np.dot(x_values_with_intercept, estimated_theta)) plt.scatter(X, y, color='blue', marker='o', label='dataset') plt.plot(x_values, predicted_probabilities, color='green', linewidth=2, label='Logistic Regression')