Political teaching application in high vocational care courses based on machine learning systems

Higher vocational colleges need to use video system technology to transform teaching methods to transform ideological and political teaching into more vivid, more attractive and infectious forms, thereby effectively assisting students to actively learn. This article studies a video system based on machine learning and has developed a type of high vocational nursing course political teaching system. The system uses the principle of machine learning to build a learning early warning monitoring algorithm, and then, the performance and accuracy of the model are evaluated by using the algorithm. This article finds that the module can extract the hidden characteristics of traffic and is not affected by the knowledge. The design of the high vocational nursing course political teaching system is equipped with multiple modules such as video on-demand, management, interaction, and recording. Compared with the group comparison, it is very efficient to find that the high vocational nursing course political teaching system in this article is very efficient. This article studies machine learning technology and applies it to the construction process of high vocational nursing curriculum political teaching video systems.