Machine Learning with Python: Association Rules

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.

Introduction

• Association rule mining
• What you should know
• Using the exercise files
• Using GitHub Codespaces with this course

1. Association Rules

• What are association rules?
• Frequent itemset generation
• The Apriori algorithm
• The FP-Growth algorithm
• Evaluating association rules
• Why and when to use association rules

2. Discovering Patterns with 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

Conclusion

• Next steps