Machine Learning Analysis of College Students' Number Information

In recent years, with the continuous expansion of colleges and universities, college enrollment has increased significantly, and more and more students have entered ordinary colleges and universities. In order to help analyze and predict the changes in the number of people in colleges and universities, this paper puts forward a scheme based on machine learning to analyze the number of people in ordinary colleges and universities. First, we obtain public data through authoritative websites; Then we visually analyze the data and grasp the general rules; Then by using AI (Artificial Intelligence), that is, artificial intelligence combined with machine learning and AdaBoost integrated regression algorithm, we compare model scores and optimize the fitting model curve through training, which is the trained model. Through continuous simulation and practice, the analysis principle of the model is simple, and it is easy to realize, and it can contribute to the number of college students.