Machine Learning with Python: Association Rules
This course 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. Instructor Frederick Nwanganga 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 integrates with Github Codespaces to allow for all the functionality offered in many IDE’s without the need for any local machine setup.