Data Science, Machine Learning, Feature Engineering, Algorithms, Machine Learning Tools.
an example where we want to predict whether a given credit card transaction is fraudulent. For this use case, we can undoubtedly use transaction-specific features, but alongside those features, we can also benefit from creating aggregated customer-level features like: Count of times the customer