January 2020
Beginner to intermediate
372 pages
10h
English
Content preview from Python Feature Engineering Cookbook
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Getting ready
In this recipe, we will use the mock customer transaction dataset that comes with Featuretools. This toy dataset contains information about transactions for five different customers. This data contains a unique identifier to distinguish between the customers, a unique identifier for each transaction, the transaction time, and the transaction amount, that is, the purchase amount. We will derive features from the purchase amount variable by performing mathematical operations with pandas.
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