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GitHub / venkat-a / Unveiling-Patterns-in-Traffic-Crashes-A-Data-Driven-Approach-to-Safer-Roads

By integrating geographical data analysis and statistical modeling, CTCA aims to inform strategies for reducing crash rates and enhancing road safety. This initiative combines innovative data processing techniques with advanced analytics to offer actionable recommendations for policymakers, urban planners, and public safety organizations.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/venkat-a%2FUnveiling-Patterns-in-Traffic-Crashes-A-Data-Driven-Approach-to-Safer-Roads

Stars: 0
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 2.08 MB
Dependencies parsed at: Pending

Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: 3 months ago

Topics: exploratory-data-analysis, feature-engineering, feature-extraction, hypothesis-generation, matplotlib, model-evaluation-and-tuning, numpy-arrays, pandas-dataframe, seaborn, tableau, visualization

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