https://github.com/sebdraven/hack_lu_2017

Python and Machine Learning Workshop at Hack.lu 2017
https://github.com/sebdraven/hack_lu_2017

Last synced: 4 months ago
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Python and Machine Learning Workshop at Hack.lu 2017

• Host: GitHub
• URL: https://github.com/sebdraven/hack_lu_2017
• Owner: sebdraven
• Created: 2017-10-03T12:47:08.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-05-18T16:05:45.000Z (over 6 years ago)
• Last Synced: 2024-08-08T23:19:15.895Z (6 months ago)
• Language: Jupyter Notebook
• Size: 1.45 MB
• Stars: 83
• Watchers: 12
• Forks: 29
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Python and Machine Learning: How to clusterize a malware dataset ?

======================================

This repository is the summary of the workshop at Hack.lu 2017 about machine learning and malwares

Setup your environment

======================

* Install python and libraries

`sudo apt python3.5 python3.5-dev python3.5-pip python3.5-virtualenv libpython3.5-dev libfuzzy-dev libffi-dev redis-server`

* Create a virtual env

`virtualenv --python=/usr/bin/python3.5 `

* activate your virtualenv

`source /bin/activate`

* Install dependencies

`pip install -r requirements.txt`

`git clone https://github.com/sebdraven/pe-parse.git`

`cd pe-parse/python`

`python3.5 setup.py install`

`git clone https://github.com/sebdraven/petojson.git`

`cd petojson`

`python3.5 setup.py install`

Install the dataset

===================

* clone theZoo malware dataset

`git clone https://github.com/ytisf/theZoo.git`

* Unzip all .zip

`cd theZoo`

`find . -name '*.zip' -exec sh -c 'unzip -P infected -o -d "${0%.*}" "$0"' '{}' ';'`

Run your environment

====================

`git clone https://github.com/sebdraven/hack_lu_2017.git`

`cd hack_lu_2017`

`ipython notebook`