Implementing Multi-step Time Series Forecasting with PyTorch Encoder-Decoder Architecture
Data Preparation
The dataset originates from a Kaggle competition involving store item demand forecasting. It contains 5 years of sales data (2013-2017) for 50 items across 10 stores, requiring predictions for the next 3 months (January-March 2018). This represents a multi-step multivariate time series problem with 500 distinct time series to f ...
Posted on Wed, 03 Jun 2026 18:16:35 +0000 by nadeemshafi9