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## py-machine-learning
+Contains:
+
+1. Classification via Random Forests and SciLearn
+2. Anomaly Detection via Autoencoder and Keras (Work-In-Progress!)
+
Use sklearn together with CSVs created with **c-analysed** to train and predict DPI detections.
Try it with: `./examples/py-machine-learning/sklearn_random_forest.py --csv ./ndpi-analysed.csv --proto-class tls.youtube --proto-class tls.github --proto-class tls.spotify --proto-class tls.facebook --proto-class tls.instagram --proto-class tls.doh_dot --proto-class quic --proto-class icmp`