ML Anomaly Detection

Quick Start

from sklearn.ensemble import IsolationForest
model = IsolationForest(contamination=0.05).fit(X_train)
predictions = model.predict(X_test)
anomalies = X_test[predictions == -1]

Purpose

Design anomaly detection systems with appropriate statistical, proximity-based, ensemble, and deep learning methods, including evaluation protocols and real-time deployment pipelines.

Architecture/Decision Trees