A Practical Approach to Timeseries Forecasting Using Python - Stacked LSTM and BiLSTM

The video tutorial covers the setup and evaluation of various LSTM models, including stacked and bi-directional LSTMs. It discusses the importance of return sequences, analyzes model results, and highlights issues like overfitting. The tutorial concludes with insights on model performance, emphasizing that simpler LSTM models may perform better depending on the dataset.

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