Network Traffic Analysis Using Machine Learning || Python Project ||
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In this project we are using various machine learning algorithms such as KNN, SVM, Decision Tree and Naïve Bayes to predict traffic or classify type of network data such as BROWSING traffic, MAIL traffic etc. Lots of network traffic type of data is available but in this project we are training ML algorithms to predict or classify 14 different types of traffic. Below are the names of such traffic types
['BROWSING', 'CHAT', 'FT', 'MAIL', 'P2P', 'STREAMING', 'VOIP', 'VPN-BROWSING', 'VPN-CHAT', 'VPN-FT', 'VPN-MAIL', 'VPN-P2P', 'VPN-STREAMING', 'VPN-VOIP']