🥇 Gold Price Prediction –

🥇 Gold Price Prediction – Machine Learning Web Application (Python | Streamlit)

I developed a Gold Price Prediction system that forecasts future gold prices using historical market data and machine learning algorithms. This project helps investors and analysts make data-driven decisions by identifying trends and patterns in gold price movements.

🔹 Project Features

📈 Predicts gold prices based on historical financial data

🤖 Machine learning model built using scikit-learn

📊 Data preprocessing, feature engineering, and model evaluation

📉 Performance metrics such as R² Score and Mean Squared Error

🌐 Interactive web application built using Streamlit

🔹 Technology Stack

Python – Core implementation

scikit-learn – Regression modeling

Matplotlib / Visualization tools – Trend analysis

Streamlit – Web application deployment