yennhi95zz/predict-gold-prices
Gold price forecasting using time series is a statistical technique that involves analyzing historical data to predict future trends in the price of gold. This approach relies on mathematical models to identify patterns and trends in the data and use them to make predictions about future prices.
Implements three forecasting approaches—Linear Regression, Naive, and Exponential Smoothing—evaluated using MAPE on 70 years of historical gold price data (1950-2020). The Exponential Smoothing model using statsmodels library achieved best performance (17.2% MAPE) and generates predictions through 2025 with 95% confidence intervals. Includes Jupyter notebook workflow and Tableau visualization dashboard for results exploration.
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Jupyter Notebook
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Last pushed
Apr 04, 2023
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