Detect outliers with the right method for your data and decide whether to keep, transform, or remove each one.
## CONTEXT Not every extreme value is an error, and blindly clipping or deleting outliers can destroy the most important signal in a dataset (fraud, anomalies, rare events). Outlier handling is a judgment call that depends on whether the extreme is a data-entry mistake, a genuine rare event, or a sign of a…
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