Property Appreciation Estimation and Recommendation for Strategic Real Estate Investments

Description:
Preprocessed 26,000+ rows and 305 columns of Zillow housing data and mortgage rates spanning two decades. Developed ARIMA models to predict property value trends for multiple timeframes (1 month, 1 quarter, and 1 year).

Skills & Tools:
Python, Pandas, NumPy, ARIMA, Plotly

Outcome:
Achieved a prediction accuracy of 68% for property value trends across 50 U.S. states.

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