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Multivariate Time Series Forecasting with LSTM using PyTorch and PyTorch Lightning (ML Tutorial)

Learners:

Instructor: Venelin Valkov

Duration: 1.00

This course provides an introduction to multivariate time series forecasting using Long Short-Term Memory (LSTM) networks with PyTorch and PyTorch Lightning. It covers the creation of a PyTorch dataset, building an LSTM model, setting up training, exploring the predictions, and concluding with an outro. Participants will gain a comprehensive understanding of how to use LSTM networks for multivariate time series forecasting.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Free

Provider:

Youtube

Certificate:

Paid Certification

Language:

English

Start Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

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.