Coder Social home page Coder Social logo

javieralmonacid / market-basket-analysis Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 892 KB

A little project for a course on the mathematics of data science. Includes brief review on association rule algorithms.

License: MIT License

Jupyter Notebook 19.44% HTML 80.56%
association-rules data-science market-basket-analysis apriori-algorithm fpgrowth

market-basket-analysis's Introduction

Association Rule Learning with Applications to Market Basket Analysis

Market basket analysis is a popular association rule learning technique for analyzing large data sets of transactional data. The main idea is to first look for combinations of items that occur together frequently in transactions (frequent itemset generation), to then identify association rules over these combinations. Using this information businesses can, for instance, make decisions about potential discounts on a certain product or how to place these items in the store. In an online setting, this is typically seen in ``recommended products based on your purchase'' sections.

In this work, we describe the association rule learning problem applied to market basket analysis. We review two methods for frequent itemset generation: Apriori and FP-Growth. In addition, we discuss metrics that are commonly used to describe the usefulness of the results. Finally, we perform market basket analysis on two sets of data, a small one coming from supermarket transactions and a larger one from an online wholesale retailer.

market-basket-analysis's People

Contributors

javieralmonacid avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.