Python code
data.csv
x
import pandasfrom sklearn import linear_modelfrom sklearn.preprocessing import StandardScalerscale = StandardScaler()df = pandas.read_csv("data.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)
[107.2087328]