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, ... )

with powershell (for widows users) :

conda init powershell

or bash-like shells (linux & macOS users):

conda init

with pyenv virtualenv:

	pyenv virtualenv clustering_OFF && pyenv activate clustering_OFF

or conda:

	conda clustering_OFF && conda activate clustering_OFF

  	pip install -r requirements

While you work on the project, don't forget to update therequirements.txt

You can look at notebooks/project_starter.ipynb for your first steps :

• load data set