Completing the basic assignments that demonstrate you can apply what we cover in class to your own data, is enough for a B, to earn an A you need to extend your knowledge.
You have some different pathways to earning an A. See the sections in the left menu for ideas.
Some ideas:
extend one task of A5 to have experiments that more carefully analyze and compare different models at a task for one of the ml tasks (classification, regression, clustering) and visualize and summarize
transform your portfolio to a publish-able portfolio by making it a jupyter book (mostly set up already, just need to clean up)
summarize the what you learned from a speaker