Leveraging the power of data science and machine learning: an in-depth analysis of their application in the Formula 1 championship

Flores, Giacomo (A.A. 2022/2023) Leveraging the power of data science and machine learning: an in-depth analysis of their application in the Formula 1 championship. Tesi di Laurea in Data science in action, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 76. [Master's Degree Thesis]

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Abstract/Index

Introduction and literature review. Overview of data science and machine learning in sports. Background of Formula 1 championship and its data sources. History of telemetry. Performance analysis. Revolutionizing Formula 1 through data and machine learning. Winning with analytics. Race weekend. Formula 1 and AWS. F1 insights powered by AWS. AWS and Scuderia Ferrari. Methodology. Formula 1 public data. Predicting grand prix winners.

References

Bibliografia: pp. 75-76.

Thesis Type: Master's Degree Thesis
Institution: Luiss Guido Carli
Degree Program: Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair: Data science in action
Thesis Supervisor: Italiano, Giuseppe Francesco
Thesis Co-Supervisor: Sinaimeri, Blerina
Academic Year: 2022/2023
Session: Autumn
Deposited by: Alessandro Perfetti
Date Deposited: 22 May 2024 14:14
Last Modified: 22 May 2024 14:14
URI: https://tesi.luiss.it/id/eprint/38611

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