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Engineering a new column

Leveraging domain knowledge to engineer new features is an essential part of modeling. This quote from Andrew Ng summarizes the importance of feature engineering:

Coming up with features is difficult, time-consuming, requires expert knowledge. "Applied machine learning" is basically feature engineering.

Your job in this exercise is to create a new feature that contains information about the average length of night calls made by customers.

This exercise is part of the course

Marketing Analytics: Predicting Customer Churn in Python

View Course

Exercise instructions

  • Create a new feature - 'Avg_Night_Calls' - that is the result of dividing 'Night_Mins by 'Night_Calls'.
  • Print the first five rows of this new feature.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create the new feature
telco['____'] = ____

# Print the first five rows of 'Avg_Night_Calls'
print(____)
Edit and Run Code