11/8/2025

 11/8/2025

Today’s main task is to continue adjusting Coded OOS, and after completion, continue to study XGBoost model optimization.

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6/8/2025

 6/8/2025 My primary focus today remained on tuning the XGBoost model. By further optimizing the input features, I successfully found a way to enable the model to consistently capture the sales decline after the Raya holiday. This discovery is of practical significance, as Raya is one of Ecoshop's most critical sales periods of the year, and sales typically experience a significant decline after the holiday. The model's ability to identify and reflect this trend will help improve overall forecast accuracy and business response capabilities.
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27/3/2025

 27/3/2025 Continue to study sales forecasting methods, focusing on learning and applying weighted moving average (WMA) for data analysis. In addition, analyze the sales during the same festival period (such as Hari Raya, Spring Festival, etc.) in historical data, compare the sales patterns of the same festival in different years, and identify the impact of festivals on sales. By calculating the sales share during the festival period, establish a forecasting model based on festival sales weights to more accurately estimate the sales of the upcoming holidays.
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13/6/2025

 13/6/2025 Today i continued to complete the work of integrating holiday factors into the sales forecasting model, and used the new model that included holiday information to predict sales, and then compared and analyzed the prediction results with the original prediction results that did not include holiday factors.
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