Data Science, Linear Regression, Machine Learning, Python, Numpy.
with an additional column of ones to account for the bias term. betas: A numpy array of shape (1, n+1) containing the initial values for the betas. """ ones = np.ones((X.shape[0], 1)) X = np.append(ones, X, axis=1) self.m = X.shape[0] self.n = X.shape[1] betas = np.array([random.random() for i in