W3School TIY Editor

import pandas from sklearn import linear_model from sklearn.preprocessing import StandardScaler scale = StandardScaler() df = pandas.read_csv("cars2.csv") X = df[['Weight', 'Volume']] y = df['CO2'] scaledX = scale.fit_transform(X) regr = linear_model.LinearRegression() regr.fit(scaledX, y) scaled = scale.transform([[2300, 1.3]]) predictedCO2 = regr.predict([scaled[0]]) print(predictedCO2)