Online Retail Project

tested with Python 3.8.11
last updated on: Nov 24, 2021
data-exploration: discover features and remove garbage data.
nlp-clustering: using description column to group products. Needs data-exploration output.
timeseries-clustering: using quantity sold to group products. Needs data-exploration output.

Import and export the environment

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
config		config
lib		lib
.gitignore		.gitignore
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
README.md		README.md
TODO.md		TODO.md
config.py		config.py
data-exploration.ipynb		data-exploration.ipynb
nlp-clustering.ipynb		nlp-clustering.ipynb
presentation.pptx		presentation.pptx
requirements.txt		requirements.txt
timeseries-clustering.ipynb		timeseries-clustering.ipynb