Professor was very knowledge and understanding of students

This class was so easy. The grade was based almost entirely on the 3 projects that you work on throughout the quarter. Each project is a Jupyter notebook guiding you through implementing data science topics (cleaning up input data, data augmentation, training machine learning models, etc). In the final project, you participate in a class Kaggle competition and your model needs to reach a threshold accuracy for full credit. If you're good at Python, you can blow through projects in a single night (like I did for the first two). The projects give you too much starter code imo, so I feel like I didn't learn to code any of it myself.

There's also some weekly homework assignments and a final exam. I think the final only weighed 20%. I knew from ECE 131A that her exams are basically ripped straight off the homework, so I just put the answers to the homework assignments on my cheat sheets for the final, and I was able to copy the answers from the homework while just changing numbers.