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terrorism

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In this project, in-depth analysis of global terrorism data. Using Python and data visualization libraries, he explores trends, patterns, and insights within the dataset. From identifying hotspots of terrorism to understanding attack types, target demographics, and more, this project sheds light on critical security issues.

  • Updated Sep 19, 2023
  • Jupyter Notebook

The Global Terrorism Database (GTD) is an open-source database including information on terrorist attacks around the world from 1970 through 2017. The GTD includes systematic data on domestic as well as international terrorist incidents that have occurred during this time period and now includes more than 180,000 attacks. The database is maintai…

  • Updated Jul 6, 2022
  • Jupyter Notebook

This is a dataset of the worst global extremist violence incidents since 1973. Its purpose is to facilitate the analysis and comparison of global incidents of extremist violence in the hope of elevating the public debate. CC-BY-SA-4.0

  • Updated Jul 13, 2019
  • Standard ML

Social Network Analysis focused on the events of 9/11/2001. By examining publicly available data through SNA techniques, we gain insights into the organizational structure of the terrorist network, offering valuable perspectives on key relationships and connections.

  • Updated Apr 13, 2024
  • Jupyter Notebook

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