MACHINE LEARNING APPLICATIONS IN PREDICTIVE ANALYTICS FOR BUSINESS DECISION-MAKING

Abstract

This review research paper delves into the burgeoning field of machine learning (ML) and its transformative impact on predictive analytics for business decision-making. As organizations increasingly rely on data-driven insights to gain a competitive edge, the integration of ML algorithms has become pivotal in extracting meaningful patterns and trends from vast datasets. The paper provides a comprehensive overview of the current landscape, exploring diverse ML techniques such as regression models, clustering algorithms, and neural networks, and their application in predicting various business outcomes.