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loss_function(theta1, theta2, x, y)) > 0.001: loss = loss_function(theta1, theta2, x, y) else: break We can visualize the descent over the gradient of the loss function as follows. Movement along with the loss terrain While our theta values are changing, our regression fit nicely comes in an