• This part of the course introduces to machine learning and good practices

    • To run all the practical work, you should configure correctly your environment.

      Within the computers at INSA, create the kernel with the following commands:
      $> source /opt/venv/iti-iml/bin/activate
      $> python -m ipykernel install --name "cours_ml" --user
      $> jupyter notebook
      and then choose the kernel "cours_ml"

      On your own computer use uv and donwload the following pyproject.toml file.

      Then: $> uv sync
      $> uv run python -m ipykernel install --name "cours_ml" --user
      $> jupyter notebook

    • pyproject Fichier

    • Slides

    • 01 introduction to machine learning Fichier
    • 02 methodology and evaluation Fichier

    • Practical Work

    • TP 1 Introduction-etu Fichier
    • TP 1 Introduction Fichier
◄Préambule
►Archives Examens