LSTM-Time-Series-Forecasting
PublicA hands-on project for forecasting time-series with PyTorch LSTMs. It creates realistic daily data (trend, seasonality, events, noise), prepares it with sliding windows, and trains an LSTM to make multi-step predictions. The project tracks errors with RMSE, MAE, MAPE and shows clear plots of training progress and forecast results.
data-sciencedeep-learningforecastinglstmmachine-learningmaemapemultistep-forecastingportfolio-projectpython
Creat：2025-09-11T23:34:53
Update：2025-09-15T21:26:20
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