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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.

Cet exercice fait partie du cours

Marketing Analytics: Predicting Customer Churn in Python

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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.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

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

# Print the first five rows of 'Avg_Night_Calls'
print(____)
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