The goal of a regression problem is to make a prediction of a numeric value. For example, you might want to predict the price of a house based on its square footage, age, ZIP code and so on.

Anomaly detection, also called outlier detection, is the process of finding rare items in a dataset. Examples include finding fraudulent login events and fake news items. Take a look at the demo ...