Python code
data.csv
x
import pandas as pdfrom sklearn.linear_model import LinearRegressioncars = pd.read_csv('data.csv')ohe_cars = pd.get_dummies(cars[['Car']])X = pd.concat([cars[['Volume', 'Weight']], ohe_cars], axis=1)y = cars['CO2']regr = LinearRegression()regr.fit(X, cars['CO2'])predictedCO2 = regr.predict([[2300, 1300,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]])print(predictedCO2)[122.45153299]