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Linear Regression with scikit-learn

Linear Regression model step-by-step

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Imagine that you want to train a linear regression model with sklearn. You have some training data available, namely X_train and Y_train, as well as the new data X_new, for which you want to obtain the predictions.

Most likely, you will take the steps below. Put them in the correct order.

Put the items in the correct order

my_model.fit(X_train, Y_train)

Y_predicted = my_model.predict(X_new)

from sklearn.linear_model import LinearRegression

my_model = LinearRegression()

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