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https://github.com/andystmc/nextflownyc
Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.
https://github.com/andystmc/nextflownyc
data-analysis data-cleaning data-science data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning jupyter-notebook lstm-neural-networks machine-learning numpy pandas predictive-modeling python3 scikit-learn tensorflow-keras traffic-flow-forecasting
Last synced: 2 days ago
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Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.
- Host: GitHub
- URL: https://github.com/andystmc/nextflownyc
- Owner: AndysTMC
- Created: 2025-01-04T13:33:26.000Z (5 days ago)
- Default Branch: main
- Last Pushed: 2025-01-04T13:45:29.000Z (5 days ago)
- Last Synced: 2025-01-04T14:42:16.988Z (5 days ago)
- Topics: data-analysis, data-cleaning, data-science, data-visualization, exploratory-data-analysis, feature-engineering, hyperparameter-tuning, jupyter-notebook, lstm-neural-networks, machine-learning, numpy, pandas, predictive-modeling, python3, scikit-learn, tensorflow-keras, traffic-flow-forecasting
- Language: Jupyter Notebook
- Homepage:
- Size: 17.3 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0