Design of Intelligent Financial Risk Prediction System Based on Machine Learning

Abstract

In the post epidemic era, the global economic environment is complex and changing, and enterprises facing financial risks are becoming more and more severe, while traditional enterprise risk management tools are difficult to meet today's new industries, so how to design an efficient and accurate financial risk prediction system is a pressing task. This research focuses on machine learning technology, through the in-depth analysis of enterprises to study the risk theory, machine learning algorithms, to build a complete risk prediction system, which covers the framework of data collection, model training, evaluation and optimization, and conduct rigorous testing. The research results provide powerful support for enterprises to prevent and control financial risks in advance and develop soundly, and provide new research ideas for future related fields.