answer these question using python code

a) implement gradient decent algorithm to learn parameters of a linear neuron using squared error objective function. The weights will be the coecients of a linear regression model along with the bias.

b) Visualize the learned model (plot both datasets separately along with learnt line).

c) Report the coecient of the model along with the bias.

d) Report model's performance using Mean Squared Error.