APPLICATION OF MACHINE LEARNING ALGORITHMS ON ECONOMICAL PROCESSES

Abstract

This study explores the integration of machine learning (ML) algorithms into economic processes, emphasizing their role in forecasting trends, assessing risks, and drivinginnovation. Drawing from recent advancements and methodological insights, the research demonstrates the efficacy of diverse ML techniques, including linear regression, random forest, gradient boosting, and deep learning models. The study showcases the predictive accuracy of these models across various economic domains through rigorous data collection, preprocessing, modelselection, and evaluation.