14/5/2025

 14/5/2025

After gaining a deep understanding of the working principle of the ARIMA model, I began to try to apply the ARIMA model to the prediction of sales data. By setting different parameter combinations (p, d, q), the model was trained and tested, and its prediction accuracy was evaluated.

In the process of applying ARIMA, I further learned about another model that is more suitable for data with seasonal fluctuations - SARIMA (Seasonal ARIMA). SARIMA adds seasonal parameters (P, D, Q, s) to ARIMA, which can more effectively handle the impact of cyclical changes such as holidays on sales.

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