Business owners at your company have given you a database of bank transactions. Each row contains the
user ID, transaction type, transaction location, and transaction amount. They ask you to investigate what
type of machine learning can be applied to the data. Which three machine learning applications can you
use? (Choose three.)
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I would go with BCD (unsupervised learning can be used to determine "out-of-the-normal-pattern" items, so it could be used to flag potentially fraudulent transactions).
Predicting the location requires providing a label (the location), so it cannot be done with unsupervised.
BCE would be correct one. ( no way to determine fraudulent or not with given features)