基于校园一卡通数据的消费行为与食堂运营分析 - 使用Python进行数据清洗、可视化分析学生消费特征，为食堂运营和助学金评定提供数据支持

Time series analysis and forecasting of Philippine household final consumption expenditure (2016–2025). Implements an additive Holt‑Winters model with bootstrap resampling to generate 95% prediction intervals. Includes seasonal decomposition, holdout validation, and forecast accuracy metrics (MAE, RMSE, MAPE).

Source codes and explanations for the in-book chapter titled "Machine Learning-Based Classification Of Countries Based On Food Supply Quantities In The Caucasus And Surrounding Regions"

Applying SQL to analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.