terrorist-attacks

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

This is collection of My Data Analysis and Python Leaning

Global Terrorism Database Interactive Dashboard

AntiSpam/AntiTerror Content Spam/Ham Training+Testing API

Social Networks Monitoring

Visualization/ kernels in R using datasets on Kaggle.

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

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

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)

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

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

This repository is created to store source files of our codes in CS 210 Course.

Terrorist Attack prediction on GDT dataset with sklearn

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.

Top class Project to protect communication system from Terrorist Attacks.

Task 4 of The Sparks Foundation Internship- Exploratory Data Analysis- Terrorism

Visualization tool providing insights on terrorist attacks all over the world

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

Github repository for the project on data collection