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LinkedIn Learning

Machine Learning with Python: Association Rules

via LinkedIn Learning

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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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