Gold Price Predictions using ML

I. Introduction In recent years, the intersection of finance and technology has yielded remarkable advancements, particularly in predictive analytics. As global markets have become increasingly volatile, investors are compelled to seek reliable forecasting methodologies that can enhance decision-making and risk management. Among the various avenues of research, machine learning (ML) has emerged as a pivotal tool in creating predictive models, especially within the context of commodity prices. By leveraging vast datasets and sophisticated algorithms, ML can uncover complex patterns that traditional analytical techniques may overlook. This study specifically aims to explore the efficacy of ML techniques in forecasting gold prices, a commodity often deemed a safe haven amidst economic uncertainty.