Data Science, Linear Regression, Machine Learning, Python, Numpy.
values of y (yhat) and the true values of y and calculates the mean squared error between them. Args: yhat: A numpy array of shape (m, 1) containing the predicted values of y. y: A numpy array of shape (m, 1) containing the true values of y. Returns: loss: The mean squared error between y and yhat.