This workshop discusses introductory concepts of machine learning and data mining following a hands-on approach using popular tools and libraries such as scikit-learn and matplotlib.

The sessions of the workshop include:

• 1_BrainRun: Application on Behavioral Biometrics
• 2_RiskFactors: Application on Behavioral Biometrics

Instructions for running the workshop at repl.it:

1. Navigate to https://repl.it
2. Click on Start coding and login with your GitHub account
3. Select Import from GitHub
4. In the text field write AuthEceSoftEng/emb-ntua-workshop
5. Click on 'Import from GitHub'

After repl.it opens up, run the following commands at the console (on the right):
python -m poetry lock
python -m poetry install

You 're all set! Open any script to see the code and run it using commands (e.g. python3 1_BrainRun/code.py).
You can also write python in the console to run the interpreter and execute the commands one-by-one.

• Practical Machine Learning in R
• Google Machine Learning Crash Course
• scikit-learn
• Tensorflow
• PyTorch
• Matplotlib

For any questions fell free to contact us:

• Dr. Andreas Symeonidis (email: symeonid@ece.auth.gr)
• Michail Papamichail (email: mpapamic@issel.ee.auth.gr)
• Thomas Karanikiotis (email: thomas.karanikiotis@issel.ee.auth.gr)