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  3. Marketing Analytics: Predicting Customer Churn in Python

Exercise

Feature scaling

Recall from the video the different scales of the 'Intl_Calls' and 'Night_Mins' features:

feature scaling

Your job in this exercise is to re-scale them using StandardScaler.

In your workspace, the telco DataFrame has been subset to only include the features you want to rescale: 'Intl_Calls' and 'Night_Mins'. To apply StandardScaler, you need to first instantiate it using StandardScaler(), and then apply the fit_transform() method, passing in the DataFrame you want to rescale. You can do this in one line of code:

StandardScaler().fit_transform(df)

Instructions

100 XP
  • Scale telco using StandardScaler() and .fit_transform().
  • Print the summary statistics of telco_scaled_df using .describe().