https://github.com/amanovishnu/anamoly-detection-using-decision-classifier

the kdd 99 anomaly detection application is a flask web app that predicts anomalies in the kdd 99 dataset using a decision tree classifier. it allows users to input features for prediction and offers a user-friendly interface with real-time predictions and low latency.

anamoly-detection data-preprocessing-and-cleaning decision-tree-classifier flask-application kdd-99-dataset machine-learning machine-learning-algorithms

Last synced: 03 Jan 2025