27/8/2025

 27/8/2025

Today, I primarily completed a summary of Decomposition and ARIMA/SARIMA models, covering model principles, application scenarios, parameter settings, and analysis of their performance and accuracy on Eco-Shop data. This summary will serve as part of a review of the overall forecasting methodology and will be used for subsequent reporting and model optimization.

评论

发表评论

此博客中的热门博文

2/9/2025

 2/9/2025 My main task today was to complete and refine the presentation for tomorrow's presentation, ensuring that all slides were logically clear, data accurate, and case studies complete. I reviewed and fine-tuned each model's prediction results and their strengths and weaknesses, optimizing the presentation order and chart layout to more intuitively showcase the analysis results and learnings from my internship.
阅读全文

21/7/2025

 21/7/2025 Today's work mainly focuses on continuing to optimize the XGBoost model, especially making more in-depth adjustments and learning on the handling of holiday factors. In the morning, I reviewed and re-studied the impact of holiday factors on time series forecasting, especially how to transform holiday information into features that can be interpreted by the model in a structured way. In the afternoon, I attended an internal lecture held by the company. The lecture focused on the application trends of artificial intelligence in today's business environment. It also emphasized the attitude changes that employees need to have in the context of rapid technological development, such as continuous learning, cross-departmental collaboration and proactive innovation.
阅读全文

4/9/2025

 4/9/2025 Today, I presented the content I prepared the day before to the team. I detailed the process of building the predictive model, its performance in different scenarios, and its limitations. During the presentation, the manager offered suggestions for improvements to some of the data processing methods and feature design.
阅读全文