Machine Learning, Data Science.
does not make sense to stack them 1 by 1 and you only keep the last gradient descent iteration parameters (by adjusting the previous iteration with the last iteration parameters). Hence, you already took into account the parameters of each features. Use the following to tinker directly with a “GLM”