1. Compute regression parameters using the gradient descent method (code in Python) The data: Consider the following 5 point synthetic data set: 13 21 Which is plotted below: 4 Recall that . The derivative of the cost for the intercept is the sum of the errors . The derivative of the cost for the slope is the sum of the product of the errors and the input 1. Compute regression parameters using the gradient descent method (code in Python) The data: Consider the following 5 point synthetic data set: 13 21 Which is plotted below: 4 Recall that . The derivative of the cost for the intercept is the sum of the errors . The derivative of the cost for the slope is the sum of the product of the errors and the input