Machine Learning-based Agricultural Information Professional Masters Personal Information And Employment Analysis System

In a big data environment,information is complex and complex,data analysis technology links information organically,and the construction of agricultural informatization has also ushered in new development opportunities.In order to train agricultural information talents,agricultural information majors are established in various colleges and universities.The employment problems of these majors have also attracted the attention of colleges and schools.This research uses the SSM(Spring+Spring MVC+Mybatis)framework to establish a machine learning-based agricultural information class master personal information and employment analysis system.It uses data analysis and machine learning related principles to complete the main information analysis functions in the system.The information analysis part uses the personal information of the postgraduates of our university's agricultural information major as the data set,and then details the data analysis process in the system,in turn through data preprocessing,selecting the training set test set,selecting the SVM model and the logistic regression model.Training,using integrated learning(Bagging and XGBoost)methods for fusion,and finally get a trained model.The study found the correlation coefficients between the five types of employment units of different nature,state-owned enterprises,public institutions,Internet companies,agriculture and forestry related units,and other private enterprises,and the personal information of postgraduates in agricultural information,and analyzed the postgraduates through correlation coefficients.The degree of correlation between gender,elective courses,etc.and the nature of different units finally simulates the trend of job selection of graduates of this category in different types of work units in recent years.The two main functions of this article are to explore the connection between personal information and employment information of graduates of agricultural information majors in our school over the years,to extract valuable information,and to provide career reference for graduate students in this major;at the same time predict the major The trend of graduate employment in recent years has provided support for the development of this major.