Skip to content

Added a great description #83

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
tommyod wants to merge 1 commit into from
Closed

Added a great description #83

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,6 +1,7 @@
# Efficient-Apriori ![Build Status](https://github.com/tommyod/Efficient-Apriori/workflows/Python%20CI/badge.svg?branch=master) [![PyPI version](https://badge.fury.io/py/efficient-apriori.svg)](https://pypi.org/project/efficient-apriori/) [![Documentation Status](https://readthedocs.org/projects/efficient-apriori/badge/?version=latest)](https://efficient-apriori.readthedocs.io/en/latest/?badge=latest) [![Downloads](https://pepy.tech/badge/efficient-apriori)](https://pepy.tech/project/efficient-apriori) [![Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)

An efficient pure Python implementation of the Apriori algorithm.
This is a super fast algorithm!

The apriori algorithm uncovers hidden structures in categorical data.
The classical example is a database containing purchases from a supermarket.
Expand Down