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Build a self-driving SDN lab on Linux that observes, learns, and reacts in real time: combine Open vSwitch, network namespaces, and a Ryu (OpenFlow 1.3) controller with a scikit-learn IsolationForest to detect bursty anomalies and auto-drop flows. Step-by-step setup (apt/dnf/zypper), model training, closed loop (flow stats -> AI decisions -> OVS rules), testing, cleanup, plus production tips for telemetry, safety, and scaling.