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Calculating aggregated variables with timegap

Assume you want to construct a predictive model to predict which donors will make a donation of at least 10 Euro during the next month. The timeline is given below, there is a timegap of one month. In this exercise, you will learn how to add a variable "mean_donation_last_month" to the basetable.

This exercise is part of the course

Intermediate Predictive Analytics in Python

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Hands-on interactive exercise

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

# Start and end date of last month
start_date = datetime.date(____, ____, ____)
end_date = datetime.date(____, ____, ____)
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