This repository contains all the work for the Network Tour of Data Science project during year 2018-2019 at EPFL. More information about this course can be find here. The Dataset used in this Project is the Terrorist Attacks Dataset.
This Project is divided in three parts :
In this part we familiarize ourselves with the raw data from the dataset.
Here we explore the data in more depth and try to extract meaningful informations from it.
Finally we try to use the knowledge extracted from the data to use it in a useful way. Here we will train a Machine Model in order to predict the organization standing behind an attack.
The Libraries required in order to use this Project are the following :
- Pandas
- Numpy
- Scipy
- Sklearn
- Networkx
- Matplotlib
- Seaborn
The MIT License
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