GitHub / 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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/amanovishnu%2Fanamoly-detection-using-decision-classifier
PURL: pkg:github/amanovishnu/anamoly-detection-using-decision-classifier

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

• Files
• Readme
• Dependencies