Machine Learning with Python: Association Rules
With Frederick Nwanganga
Liked by 96 users
Duration: 1h 27m
Skill level: Intermediate
Released: 11/9/2022
Course details
Join instructor Frederick Nwanganga as he introduces a practical, easy-to-understand approach to using machine learning to solve real-world problems and provides step-by-step guidance on how to do this in Python. Frederick focuses specifically on association rules and how you can apply them for market basket analysis. He explains what association rules are and goes over two popular algorithms, then dives into when and why you should use association rules. Plus, Frederick covers how to create, visualize, and interpret association rules in Python.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.
Skills you’ll gain
Meet the instructor
Learner reviews
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Prabudda Fernando
Prabudda Fernando
Mobile Application Engineer @Organic Response by OR Technologies
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Piumi Darshika
Piumi Darshika
Software Engineer (Java | Spring Boot | Microservices | DevOps Practices) @ Wavenet | Master's in Computer & System Science
Contents
What’s included
- Test your knowledge 2 quizzes
- Learn on the go Access on tablet and phone
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