Create advanced_anomaly_detection.py

projects/piguardian/ai_ml/anomaly_detection/advanced_anomaly_detection.py

@@ -0,0 +1,13 @@
+# anomaly_detection/advanced_anomaly_detection.py
+import pandas as pd
+from sklearn.ensemble import IsolationForest
+
+class AdvancedAnomalyDetection:
+    def __init__(self, data):
+        self.data = data
+
+    def detect_anomalies(self):
+        # Use Isolation Forest algorithm to detect anomalies
+        isolation_forest = IsolationForest(contamination=0.1)
+        anomalies = isolation_forest.fit_predict(self.data)
+        return anomalies