mdasharaf07/Gold-Price-Prediction
This project focuses on predicting gold prices using historical data and machine learning techniques. It demonstrates a complete data science workflow, including data preprocessing, exploratory data analysis, feature engineering, model training, evaluation, and result visualization using Python.
This project helps financial analysts and traders predict future gold prices by analyzing historical market data. It takes past gold price records as input and produces estimated future prices, along with visualizations of actual versus predicted values. This tool is designed for individuals learning about financial forecasting or exploring quantitative analysis in commodity markets.
Use this if you are a financial analyst or data science student looking to understand how machine learning can be applied to predict commodity prices based on historical trends.
Not ideal if you need real-time trading advice or a solution that incorporates live market data and complex economic indicators beyond historical prices.
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Last pushed
Jan 22, 2026
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