import numpy as np import pandas as pd "Load mtcars df= pd.read_csv ( "mtcars.csv") df. head() (a) [10 points] Split the data into train and test sets and print the size of each part. We keep two input features hp (horse power) and wt (weight), and the target is mpg (mile per gallon). (b) [20 points] Use sklearn to fit the training data using linear regression in four cases: (1) input: horse power, (2) input: weight, and (3) inputs: horse power and weight without preprocessing, and (4) inputs: horse power and weight with preprocessing (e.g 4 MinMaxScaler) (c) [10 points] Evaluate the performance of each regression model using at least two metrics. (d) [10 points] Does using preprocessing help achieve better results when considering both inputs