: By applying mathematical functions to time-series data, you can create features that predict how quickly certain "left behind" artifacts lose relevance or visibility.
: Specify the max_depth . A depth of 1 might calculate "average session time," while a depth of 2 could calculate the "average of the maximum session times across all devices". What We Leave Behind
If you'd like to dive into the technical setup, would you prefer to see using Featuretools or a conceptual breakdown of which data points would make the best features for your specific dataset? : By applying mathematical functions to time-series data,