W3School TIY Editor

import pandas

from sklearn import linear_model

from sklearn.preprocessing import StandardScaler

scale = StandardScaler()

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df = pandas.read_csv("cars2.csv")

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X = df[['Weight', 'Volume']]

y = df['CO2']

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scaledX = scale.fit_transform(X)

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regr = linear_model.LinearRegression()

regr.fit(scaledX, y)

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scaled = scale.transform([[2300, 1.3]])

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predictedCO2 = regr.predict([scaled[0]])

print(predictedCO2)

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