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NTDS_project

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.

Structure of the Project

This Project is divided in three parts :

Data Acquisition

In this part we familiarize ourselves with the raw data from the dataset.

Data Exploration

Here we explore the data in more depth and try to extract meaningful informations from it.

Data Exploitation

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.

Libraries

The Libraries required in order to use this Project are the following :

• Pandas
• Numpy
• Scipy
• Sklearn
• Networkx
• Matplotlib
• Seaborn

License

The MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.