Gold Price Analysis and Forecasting

The Gold Price Analysis and Forecasting project investigates historical trends in gold prices and builds predictive models for future price forecasting. Using Python, the project analyzes time-series data sourced from reliable financial platforms. Libraries such as Pandas and Matplotlib are used for data cleaning and visualizing price trends, while Statsmodels and scikit-learn assist in implementing ARIMA and regression models for forecasting. The project demonstrates proficiency in time-series analysis, statistical modeling, and data visualization, showcasing critical skills applicable in finance and economics.