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Machine Learning with Python: Association Rules

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Overview

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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.

Syllabus

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

Taught by

Frederick Nwanganga

Reviews

4.6 rating at LinkedIn Learning based on 73 ratings

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