Please show python code. Only use numpy library please.

(2) The data file {x(i),y(i)} for i=1,2,,n=10 is drawn (with noise) from the function: g(x)=0+sin(1x)+cos(2x) Use gradient decent(GD) or stochastic gradient decent (SGD) to fit the data to the function g(x) by minimizing the RSS loss RSS=i=1n(y(i)g(x(i)))2 Turn in any associated computations, your learning rate, and the parameters