Upload isolation_forest.py

models/anomaly_detection/isolation_forest.py

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+from sklearn.ensemble import IsolationForest
+import pandas as pd
+
+def detect_anomalies_isolation_forest(df, features):
+    model = IsolationForest(n_estimators=100, contamination=0.01)
+    df['anomaly_score'] = model.fit_predict(df[features])
+    df['is_anomaly'] = df['anomaly_score'] == -1
+    return df