What is an anomaly detection system, and how would you implement it in Python?

Anomaly detection identifies outliers in data that deviate from the norm, which can indicate fraud, errors, or rare events. Python Implementation: from sklearn.ensemble import IsolationForest data = [[100], [110], [120], [999]] model = IsolationForest(contamination=0.1) model.fit(data) print(model.predict(data))