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Demand-Forecasting

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End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day forecasts with confidence intervals. Reproducible scripts and visualizations for portfolio showcase.

arimadata-sciencedata-visualizationdemand-forecastingforecastingmachine-learningportfolio-projectpredictive-modelingpythonsales-data
Creat：2025-09-09T17:49:12
Update：2025-09-09T18:07:35
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