https://github.com/shahab-esfandiar/taxidemand-prediction-using-deeplearning
Develope a CNN-LSTM model with Multi-Head Attention mechanism model to Predict Taxi demand
https://github.com/shahab-esfandiar/taxidemand-prediction-using-deeplearning
cnn-keras data-science deep-learning pandas python rnn-tensorflow streamlit-webapp taxi-data
Last synced: 6 months ago
JSON representation
Develope a CNN-LSTM model with Multi-Head Attention mechanism model to Predict Taxi demand
- Host: GitHub
- URL: https://github.com/shahab-esfandiar/taxidemand-prediction-using-deeplearning
- Owner: Shahab-Esfandiar
- Created: 2024-07-23T10:55:40.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-08-11T08:13:59.000Z (11 months ago)
- Last Synced: 2024-08-11T09:26:30.522Z (11 months ago)
- Topics: cnn-keras, data-science, deep-learning, pandas, python, rnn-tensorflow, streamlit-webapp, taxi-data
- Language: Jupyter Notebook
- Homepage:
- Size: 103 MB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md