Predictive modeling of migrant fatality hotspots using machine learning: an analysis od the missing migrants project data
Gony Jany, Khan (A.A. 2022/2023) Predictive modeling of migrant fatality hotspots using machine learning: an analysis od the missing migrants project data. Tesi di Laurea in Machine learning, Luiss Guido Carli, relatore Giuseppe Francesco Italiano, pp. 22. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Brief about the missing migrants project. Objectives of the missing migrants project. Significance of the study. Objective of the study. Literature review. Migrant fatalities in irregular migration. An increase in fatalities among migrants. The causes for fatalities. Studies involving machine learning in humanitarian efforts. Gap in the literature that this research will fill. Data Description. Detailed explanation of each feature in the dataset. Potential limitations or biases in the data. Methodology. Data preprocessing. Exploratory data analysis. Feature selection. Model selection. Training and validation.
References
Bibliografia: pp. 18-19.
| 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: | Machine learning |
| 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 10:41 |
| Last Modified: | 22 May 2024 10:41 |
| URI: | https://tesi.luiss.it/id/eprint/38599 |
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