Abstract: Network traffic classification is challenging task in high speed network. Network monitoring is required for quality of service and analysis, therefore it generate network traffic. Existing system has some drawback, to overcome that drawback we have develop our system i.e classification of network traffic using machine learning algorithm. According to generated traffic information by client we have constructed boosted classifier with high accuracy. This system is used to classify application like FTP, Skype, TCP ,etc. For constructing c5.0 classifier we have to provide unique dataset and training set to algorithm. This paper shows how we implement machine learning algorithm and how we use that algorithm for classification of network traffic.