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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']
On this page of the site you can watch the video online Network Traffic Analysis Using Machine Learning || Python Project || with a duration of hours minute second in good quality, which was uploaded by the user Venkat Innovative Projects 22 December 2021, share the link with friends and acquaintances, this video has already been watched 2,789 times on youtube and it was liked by 21 viewers. Enjoy your viewing!