2. (10 points) In this question, you may use Python (with only numpy library) to solve the matrix equation. Consider the following data points a). Fit a linear model y=0+1x1+2x2 to this dataset when the loss is RSS =Xy2. You should report the best fit function and the RSS cost value. b). Fit a linear function to this dataset when the loss is the Ridge Loss J()=Xy2+(12+22) with =1 and with =10. You should report the best fit function and the RSS cost value. Plot the data and model. (Hint: Do not put penalty on 0. You don't have to standardize the data, but you need to centralize the data. )