Scaler?

Hi, I’d like to ask a question about this part of the notebook:

regressor = LinearRegression()
regressor.fit(data_train, target_train)
target_predicted = regressor.predict(data_train)

As we are using a linear model and working on some numerical data, why don’t we use scaler here as in previous modules?
Thanks!!

It is only for a didactic purpose to have the simplest model possible. In practice, as you mentioned, we will most of the time be interested in scaling the data and use a penalized linear model (Ridge) instead of simple linear regression.

Thank you!