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  3. Fraud Detection in Python

Exercise

Creating a flag

This time you are going to create an actual flag variable that gives a 1 when the emails get a hit on the search terms of interest, and 0 otherwise. This is the last step you need to make in order to actually use the text data content as a feature in a machine learning model, or as an actual flag on top of model results. You can continue working with the dataframe df containing the emails, and the searchfor list is the one defined in the last exercise.

Instructions

100 XP
  • Use a numpy where condition to flag '1' where the cleaned email contains words on the searchfor list and 0 otherwise.
  • Join the words on the searchfor list with an "or" indicator.
  • Count the values of the newly created flag variable.