Analysis of College Students’ Mental Health Education Based on Machine Learning
摘要
Students’ mental health is an important part in the process of college education, but you are a college student, and it is difficult to identify problems in mental health. For this reason, we propose a braking method to conduct an in-depth analysis of the mental health of treatment to explore its impact on the overall situation of mental health, and analyze the key contents and indicator documents. The results show that when continuing to study, college students’ mental health is effectively improved, with the improvement rate between 15% and 16%, and they can dig deep into the problems existing in mental health. Therefore, temporary health problems have not been effectively improved with the assistance of treatment methods. Strengthening the research of single-day health and improving its effectiveness is the key technology of my research.