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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