Data Science & Analytics
Handling Multivariate Time Series with RNNs
This course extends the concepts from the first course by introducing multiple time series inputs. It covers how to preprocess, structure, and train RNN models using **two related time series features** from the **Air Quality dataset**. It also includes model evaluation techniques to assess forecasting accuracy.
Python
PyTorch
4 lessons
13 practices
Less than 1 hour
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