The data source is the Global Terrorism Database https://www.start.umd.edu/gtd/. The idea behind the analysis was to get acquainted hands-on with the concept of Decision Trees and Random Forests. I did not want to work with the extremely common Titanic-case https://www.kaggle.com/c/titanic but wanted to use a different, wider dataset and apply a modern twist. A model is created into which you insert certain features of terrorist attacks and as a result it shows, with c. 90% accuracy, if any given attack is expected to succeed or fail.
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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)
north0n-FI/Predicting-terrorism-in-Europe-through-Decision-Trees-and-Random-Forests
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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)
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