USSTHPI ARIMA Forecasting Project

This project uses the ARIMA model to forecast U.S. housing price trends based on the U.S. All-Transactions House Price Index (USSTHPI).

🔧 Tools Used

• Python
• Pandas, Matplotlib
• Statsmodels (ARIMA)
• Jupyter Notebook

📊 Key Visual

🧠 What I Did

• Cleaned and visualized housing price data over time
• Split into training and test sets
• Built and tuned an ARIMA model
• Forecasted future housing prices and compared against actual test data

📁 Files Included

• USSTHPI_Time_Series_Analysis.ipynb: Full analysis and modeling notebook
• arima_forecast_vs_actual_full.png: Forecast visualization

📌 Outcome

This project demonstrates practical use of ARIMA forecasting in a real-world housing dataset and improved my understanding of time series modeling in Python.