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Association Rule Learning

  • Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases.
  • Association rules are produced for locations and segments using association analysis and recommendations are made according to these rules.
  • The main objective is to find and propose a general recommendation product on the basis of segment and country.

Apriori Algorithm

  • Apriori Algorithm is a Machine Learning algorithm that is used to gain insight into the structured relationships between different items involved.
  • It’s a data mining technique that is used for mining frequent itemsets and relevant association rules.

Project Steps

  1. Business Problem
  2. Data Understanding
  3. Data Preparation
  4. Creating Association Rules

Dataset Information

This Online Retail II data set contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011. The company mainly sells unique all-occasion gift-ware. Many customers of the company are wholesalers.

https://archive.ics.uci.edu/ml/datasets/Online+Retail+II#

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Association Rule Learning via Apriori Algorithm in Python

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