Gold Price Prediction Using Yearly Data

? Project Overview

This project focuses on analyzing and predicting gold prices using historical yearly data.

The goal is to understand long-term price trends, engineer time-based features, and apply machine learning models to forecast future gold prices.

The project follows a complete data science workflow including data loading, cleaning, feature engineering, exploratory data analysis (EDA), model training, evaluation, and visualization.