Non Linear, Regression, Data Science, Python, Least Squares.
lin_combi = np.matmul(np.array(x), np.array(beta)) mean = np.exp(lin_combi) return mean The second function we will define is one that will calculate the plain residual r_i = (y_predicted — y_observed) given the input matrices β, X and y_obs: def calc_residual(beta, x, y_obs): y_pred =