30/6/2025

 30/6/2025

Today, we will continue to study and understand the XGBoost (Extreme Gradient Boosting) model, which is one of the advanced prediction methods used to improve the accuracy of sales forecasting. It is based on the structure of gradient boosting, which minimizes the error by continuously building decision trees.

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10/6/2025

 10/6/2025 Today, i successfully completed the construction of the SARIMA model and began to apply it to the prediction of actual sales data. After model training, i generated sales forecasts for the next few days and compared them with the actual data to evaluate the accuracy of the model.
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22/5/2025

 22/5/2025 Continue to modify the analysis content based on the feedback from Supply Chain Executive, including optimizing the data display format, supplementing missing data fields, and reorganizing the analysis logic. While completing the modifications, also start preparing for the report to be given tomorrow and organize the required forecast model results.
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