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Exploring community perceptions of natural hazards and vulnerability through data analysis by machine learning

Natural hazards are global phenomena that affect communities worldwide. The study aims to analyze the risk, vulnerability, and resilience of several landslide prone areas in eight. different countries based on community perception. The study used a multi-country natural disaster data gathered by the University of North Texas Health Science Center through researchersIn this project we used advanced data analysis techniques to clean and visually present the data. Assessing the in-depth understanding of landslide risk and vulnerability, sophisticated machine learning algorithms are implemented.

Keywords: Machine Learning,Data Analysis ,Community Perception
Tools: Python,Numpy,Pandas,Anaconda,Matplotlib,Seaborn,Excel
Department: Department of Mathematics

Project Team Members

Name Email
Muhammad Rafiq rafiq2020@namal.edu.pk
Muhammad Wasim mwasim2020@namal.edu.pk

Project Poster

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