Age of home (years) Price ($1000) Examples: m = 4. Size (feet?) Number of Number of bedrooms floors 20 1 2104 5 1 1 1416 3 2 1 1534 3 2 1 852 2 1 460 232 45 40 30 36 315 178 X= i 2104 5 1 45 1 1416 3 2 40 1 1534 3 2 30 1 852 2 1 36 y = 460] 232 315 178 0 = (XT X)-?xTy simultaneously update 0; := 0; (hor(i)) y)). m 1 m A-1 = deta [ C ]-od-e [CD] Given this Data set Use Python Juryter Notebook to : 1) Do multivariable liner regression using gradient descent to get thetas 2) Use the mathematical equations to get thetas 3) Compare the output of thetas Note: show your steps and output