Data-driven approaches for soccer match analysis
Olivieri, Martino (A.A. 2021/2022) Data-driven approaches for soccer match analysis. Tesi di Laurea in Data analysis for business, Luiss Guido Carli, relatore Francesco Iafrate, pp. 64. [Bachelor's Degree Thesis]
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Abstract/Index
Data pre-processing. Data description. Exploratory data analysis. Data cleaning. Feature engineering. Models. Player rating. Clustering for role detection.
References
Bibliografia: pp. 54-55.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Data analysis for business |
| Thesis Supervisor: | Iafrate, Francesco |
| Academic Year: | 2021/2022 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 21 Apr 2023 13:09 |
| Last Modified: | 21 Apr 2023 13:09 |
| URI: | https://tesi.luiss.it/id/eprint/35708 |
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