From the course: Machine Learning with Python: Association Rules

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From the course: Machine Learning with Python: Association Rules

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Next steps

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- [Instructor] Congratulations. You now know what an itemset is, how frequent itemsets are generated, how association rules are created, how they are evaluated, and how to use them. You've also learned how to import transactions, generate frequent itemsets, create association rules, and evaluate association rules in Python. The foundational knowledge and skills you've acquired in this course should serve as a stepping stone to continue learning about machine learning. Specifically, it should serve as a launchpad for solving more complex, unsupervised machine learning problems using association rules. Here are a few recommended next steps. Association rules are one of many unsupervised machine learning models we can build in Python. I encourage you to continue to explore other LinkedIn Learning courses that illustrate the use of different types of machine learning models. As a starting point, you can check…

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