20/8/2025

 20/8/2025

Today, I successfully built a TCN (Temporal Convolutional Network) model.

Theoretically, TCN can better capture long-term dependencies in time series, making it particularly well-suited for data with cyclical patterns and seasonal fluctuations. However, after applying the model to EcoShop's sales data, the results showed that the TCN was poorly suited to the data, failing to outperform the existing XGBoost model in terms of prediction performance.

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