Traffic Forecasting with Python: LSTM & Graph Neural Network
Python-driven traffic forecasting with Keras: LSTM and Graph Convolutional Networks for spatiotemporal data modeling
5.00 (2 reviews)
116
students
1 hour
content
Nov 2024
last update
$54.99
regular price
What you will learn
Understand and analyze real-world traffic data using Python.
Implement and apply Graph Convolutional Networks (GCNs) for traffic data.
Combine LSTM networks with GCNs for time series forecasting.
Preprocess and normalize large datasets for machine learning.
Build, train, and evaluate predictive models using TensorFlow and Keras.
Visualize and interpret model results for traffic prediction.
6163277
udemy ID
9/3/2024
course created date
11/20/2024
course indexed date
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