This is the final project for my machine learning class
- data: store here your small additional datasets (<50Mo)
- models : store your trained models
- tests: store here your code dedicated to small tests
- notebooks: store here your notebooks dedicated to analyses
- scripts: store here your code structured as python packages for automation of your workflow
- results : store here your results (pictures, model performance, ... )
- Create a new virtual environment and activate it :
with pyenv virtualenv:
pyenv virtualenv clustering_OFF && pyenv activate clustering_OFF
or conda:
conda clustering_OFF && conda activate clustering_OFF
- Install required librairies :
pip install -r requirements
While you work on the project, don't forget to update therequirements.txt