Data Science, Linear Regression, Machine Learning, Python, Numpy.
to account for the bias term). betas: A numpy array of shape (1, n+1) containing the values for the betas. Returns: yhat: A numpy array of shape (m, 1) containing the predicted values of y. """ yhat = np.dot(X, betas.T) return yhat def loss(self, yhat, y): """ Method that takes in the predicted