Welcome to the GitHub repository for I526 AML. Here you will find many of the notebooks and datasets we will be using this semester. Content has been structured as follows:

• Assignments: Notebooks and data for each graded homework assignment.
• Labs: Notebooks and data for each weekly lab. These are ungraded, but important practice resources.
• Project: Model notebook and additional resources for the final class project.
• Slides: Slides used for the module videos and more.
• Solutions: Solutions to the class assignments. These will be posted after each assignment is graded, so you can compare your work to a model solution.
• Supplements: Additional resources (that don't fit into one of the other areas).

The class primer contains all of the information you need to set up and test your environment (python/jupyter) for this class. This document also contains background material to help you brush up on python, linear algebra, calculus and machine learning concepts required for this class.