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Updated in [February 21st, 2023]
This course provides an introduction to multivariate time series forecasting with LSTM using PyTorch and PyTorch Lightning. It covers the basics of creating a PyTorch dataset, building an LSTM model, setting up training, and exploring the predictions.
Possible Development Paths include furthering their knowledge in machine learning, deep learning, and artificial intelligence. They could also explore other types of forecasting models such as ARIMA and SARIMA.
Learning Suggestions for learners include taking courses in machine learning, deep learning, and artificial intelligence. They should also explore other types of forecasting models such as ARIMA and SARIMA. Additionally, they should practice coding in Python and familiarize themselves with the PyTorch and PyTorch Lightning libraries.
