January 2020
Beginner to intermediate
372 pages
10h
English
Content preview from Python Feature Engineering Cookbook
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See also
Featuretools offers awesome functionality that we can use to aggregate features within a temporal window prior to user-defined cut-off times. This is usually set up ahead of the event we want to predict. To learn more about this functionality, take a look at the following links:
- https://docs.featuretools.com/en/stable/automated_feature_engineering/handling_time.html#what-is-the-cutoff-time
- https://docs.featuretools.com/en/stable/automated_feature_engineering/handling_time.html#creating-and-flattening-a-feature-tensor
Another commonly used feature is the percentage change in value between the current and the precedent observation, which we can create automatically with pandas pct_change(). You can find an example of how to use this ...
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