Using machine learning methods for predicting the employment of graduates

In today’s world, technology continues to play an increasingly important role in all spheres of human life. Education is no exception and keeps pace with the times. One of the more promising directions in this area is the use of machine learning methods to analyze data on graduates and predict their future employment, based on the accumulated information about students. Such information not only helps to determine the future profession, but also will allow educational institutions to coordinate their activities more effectively and improve the quality of education. In addition, the use of machine learning in education can lead to the creation of new, more effective teaching methods that take into account the individual characteristics of each student. The result of this work is an intelligent system of big data processing, capable of adapting to the current state of the labor market and helping graduates in an earlier determination of their future profession. Data analysis was conducted on a sample of students of Tomsk State Pedagogical University of 2021-2023 academic years.