Machine Learning for Analyzing Effects of Various Factors on Business Economic

In recent decades, the use of machine learning techniques has found extensive applications across many aspects of human life, including medicine, agriculture, defense industries, transportation systems, and more. Machine learning is a powerful tool for analyzing and predicting the impacts of various factors on business economics. Techniques such as regression, decision trees, support vector machines, neural networks, clustering algorithms, and time series models can assist businesses in effectively simulating and forecasting the impacts of economic, social, political, and technological changes. These techniques enable businesses to make better decisions in areas such as risk analysis, demand forecasting, pricing management, policy impact simulation, and resource management, thereby implementing more successful strategies in a complex and rapidly changing economic landscape. This study focuses on the application of machine learning techniques for analyzing the various factors influencing business economics.