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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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
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Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

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

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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