You are provided the following data in Table 3, in which you wish to predict the housing prices based on the size of the houses. You wish to use polynomial linear regression, with the maximum degree of polynomial to be 3, (i.e. d = 3). Jadual 3 Table 3 Saiz Size 2104 Harga Price 400 Pecahan Data Data Splits 1600 330 2400 369 Training 1416 232 3000 540 1985 300 1534 315 Cross Validation 1427 199 1380 212 Testing 1494 243 a) Nilaikan ciri-ciri yang dinormalkan menggunakan penormalan purata Compute the normalized features using mean normalization. b) Nilaikan ciri-ciri polynomialuntuk d = 2 dan d = 3, menggunakan normalized features yang anda telah nilaikan. Compute the polynomial features for d = 2 and d = 3, using the normalized features computed You are provided the following data in Table 3, in which you wish to predict the housing prices based on the size of the houses. You wish to use polynomial linear regression, with the maximum degree of polynomial to be 3, (i.e. d = 3). Jadual 3 Table 3 Saiz Size 2104 Harga Price 400 Pecahan Data Data Splits 1600 330 2400 369 Training 1416 232 3000 540 1985 300 1534 315 Cross Validation 1427 199 1380 212 Testing 1494 243 a) Nilaikan ciri-ciri yang dinormalkan menggunakan penormalan purata Compute the normalized features using mean normalization. b) Nilaikan ciri-ciri polynomialuntuk d = 2 dan d = 3, menggunakan normalized features yang anda telah nilaikan. Compute the polynomial features for d = 2 and d = 3, using the normalized features computed