Artificial Intelligence
Time Series Forecasting with LSTMs
This course focuses on LSTM networks, a powerful extension of RNNs that handle long-term dependencies better than simple RNNs. Learners will build, optimize, and evaluate LSTM models for time series forecasting.
Python
PyTorch
4 lessons
16 practices
1 hour
Course details
Introduction to Time Series Forecasting with LSTMs Using PyTorch
Tracking Data Shapes in Time Series Preprocessing for LSTM Models
Exploring the Impact of Sequence Length on Time Series Data Shapes
Building an LSTM Model for Time Series Forecasting
Modifying LSTM Hidden Units Configuration
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal
