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