Cavalcanti, Anderson Luiz de OliveiraBarbosa, Gabriel Souto Lozano2025-01-282025-01-282025-01-23BARBOSA, Gabriel Souto Lozano. Predição do uso de tráfego de rede por machine learning. 2025. 37 p. Trabalho de Conclusão de Curso (Graduação em Engenharia Mecatrônica) — Departamento de Engenharia de Computação e Automação, Universidade Federal do Rio Grande do Norte, , Natal, 2025.https://repositorio.ufrn.br/handle/123456789/62132The paper proposes, through the use of machine learning, to use the linear regression technique developed in the Python language to predict the network consumption of Internet service provider customers and estimate how long the provider's infrastructure will be able to support the current traffic. For this, data obtained by the company MW Soluções, specialized in monitoring services for network operators, were used. The data analyzed refer to the number of PPPoE (Point-to-Point Protocol over Ethernet) sessions connected and the network traffic transmitted by the BGP (Border Gateway Protocol) protocol. The results obtained indicated that the solution based on linear regression is viable and applicable, although it presents limitations and depends on specific adjustments for each provider.Attribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/Regressão linearAprendizado de MáquinasOperadoras de internetPrevisão de tráfegobachelorThesis