Repository with my talks:
- ODSC 2021, Tutorial on Automated Machine Learning
- ECML-PKDD 2020 (to be added)
- ODSC 2019 Europe, Tutorial on Automated Machine Learning
Some talks are based on notebooks.
You look at the pre-rendered html files (in the talk's rendered folder), or run the notebooks yourself.
I highly encourage you to run the notebook and experiment with code changes to learn more about the topics discussed.
With Python installed it's encouraged to first make a virtual environment in the talk directory (if you installed conda, see here)
python -m venv venv/activate the environment
source venv/bin/activate # unix
venv\Scripts\activate # WindowsYou can then install the requirements and run the notebook
pip install -r requirements.txt
jupyter notebook
This will open your browser from on the notebook page, and you can open the notebook you wish to run.
For practical purposes I might add files to this repository that were not made or presented by me (e.g. joint presentations). A folder's README will specify which files, if any, were not created by me.