15/5/2025

 15/5/2025

Successfully mastered the core concepts and application methods of the ARIMA model, including how to optimize model settings by manually adjusting parameters (p, d, q) and using automated tools (such as auto-ARIMA).

Based on the optimized parameters, the ARIMA model was successfully used to predict sales data, and the accuracy and stability of the prediction were verified by comparing the actual sales volume.

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