bayesian-networks-f1-project
Code repository for Year 5 Undergraduate Project for Masters of Mathematics: "Bayesian Networks in Formula One Race Strategy"
https://github.com/nataliakortals/bayesian-networks-f1-project
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (5.4%) to scientific vocabulary
Repository
Code repository for Year 5 Undergraduate Project for Masters of Mathematics: "Bayesian Networks in Formula One Race Strategy"
Basic Info
- Host: GitHub
- Owner: nataliakortals
- Language: HTML
- Default Branch: main
- Size: 5.52 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Dissertation project in Year 5 on Bayesian Networks
Final year dissertation project on Bayesian Networks in Formula One Race Strategy.
This repo contains the folders: - data: .xls files of data used in the analysis
Files: - Bahrain model: code relevant for single-race EDA, single-race example models (R markdown also available as HTML) - f1datasetuplapdata: querying f1dataR package to extract information for a single race - f1datasetuplapdatainloop: querying f1dataR package to extract information for all 2023 season races, using a loop and additional labelling for discretised laptime and pitstopduration variables - seasonmodel: code for building a BN on full-season data, including full-season EDA and prediciton study (R markdown also available as HTML).
Owner
- Login: nataliakortals
- Kind: user
- Repositories: 1
- Profile: https://github.com/nataliakortals
Citation (CITATION.cff)
cff-version: 1.2.0 message: "Please cite the repository as below." authors: - family-names: "Kortals" given-names: "Natalia" title: "Bayesian-Networks-F1-Project" version: 1.0.0 doi: 10.5281/zenodo.1234 date-released: 2025-02-23 url: "https://github.com/nataliakortals/Bayesian-Networks-F1-Project"
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- Push event: 12
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