Design of Career Advice System Based on Random Forest
In order to provide suggestions and references for the employment or career choice of undergraduate graduates,this paper analyzes the employment situation of graduates from the electrical engineering school of a university from 2021 to 2023,and uses random forest algorithm to realize the job recommendation of the employment guidance system.This paper collects and processes data,respectively uses decision tree and random forest algorithm to analyze the samples,through comparing results,selects the optimal method as the system job recommendation algorithm.The advantage of this system is that users do not need to master the algorithm,they can directly use the algorithm after entering the system,and get the recommendation result of jobs.