GitHub / sevalous / traffic-accident-prediction
This repository contains a study on predicting and preventing traffic accidents using machine learning in Greater London. It also examines how to automate these processes with MLOps. 🚦🛠️
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PURL: pkg:github/sevalous/traffic-accident-prediction
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 26.8 MB
Dependencies parsed at: Pending
Created at: about 2 months ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Topics: classification-model, data-mining, decision-support-system, decision-trees, deep-neural-networks, express, generative-adversarial-network, geographical-spatial-dependencies, random-forest, semantic-spatial-correlations, sequlize, spatial-temporal-data, spatio-temporal, spatio-temporal-analysis, spatio-temporal-prediction, temporal-block, traffic-accident-risk-forecasting, traffic-flow-prediction