📊 Visualization of GTD with py Plotly lib, including amazing graphs and animation 📼

Global Terrorism Database Interactive Dashboard

This is collection of My Data Analysis and Python Leaning

An analysis of 9 terrorist attack networks across various countries between the years 2000 and 2005 using a Gephi network graph visualization with the goal of discovering patterns, similarities, connections, and potential relationships between one another’s actors.

Global Terrorism Catalogue Explorer

AntiSpam/AntiTerror Content Spam/Ham Training+Testing API

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…

This project provides a machine learning pipeline to predict terrorist attack.

Social Networks Monitoring

Visualization/ kernels in R using datasets on Kaggle.

Hate Crime Analysis comprising data Preprocessing, Exploratory Data Analysis, creating Tableau dashboard and presenting an analysis of Results/Findings.

This is an information visualization project of Global Terrorism Database with Yingrong Mao.

Global Terrorism Analysis dashboard created in power bi to analysis terrorist activities around the worldt

Given enough data, could we make predictions on whether a terrorist attack will be successful, or not? This analysis aims to do just that using Decision Trees and Random Forests created with scikit-learn. (Python)

Targeted Individuals of Russia :: Psyterror of "Psyops" (in russia: stupid gov mil.tech)

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

Terrorist Attack prediction on GDT dataset with sklearn

Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’ . As a security/defense analyst, try to find out the hot zone of terrorism.

Geospatial Evaluation Of Telecom Infrastructure Destruction in conflict Economies (geotide)