Unity banking

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import numpy as np from sklearn.ensemble import IsolationForest def flag_suspicious_transactions(df): # df = DataFrame with ['amount','from_wallet','to_wallet'] model = IsolationForest(contamination=0.05, random_state=42) df['score'] = model.fit_predict(df[['amount']]) df['risk'] = np.where(df['score']==-1, "High Risk", "Normal") return df

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