Explore the unsupervised machine learning approach known as association rules, as well as a step-by-step guide on how to use the approach for market basket analysis in Python.
Overview
Syllabus
Introduction
- Association rule mining
- What you should know
- Using the exercise files
- Using GitHub Codespaces with this course
- What are association rules?
- Frequent itemset generation
- The Apriori algorithm
- The FP-Growth algorithm
- Evaluating association rules
- Why and when to use association rules
- How to collect data for association rule mining
- How to generate frequent itemsets
- How to create association rules
- How to evaluate association rules
- Next steps
Taught by
Frederick Nwanganga
