Midterm Peer Review - kz233 #9
Description
What's working:
This midterm report is very thorough and solid. It hits all most of the required guidelines. I like that you provided good context for the project, concisely summarizing the motivations well, especially for someone with little finance knowledge. You also were good with describing your data sources, both the origin, and all the decisions behind collapsing categorical data categories into fewer levels. Your table in the appendix with the description of each variable was nice and informative. Also you've made thoughtful progress on model development, already having tried both logistic regression, with regularization, and random forests.
Some things to work on:
- More informative visuals, to maybe show some relationships between variables, instead of just a histograms that give a high-level overview of how each variable is distributed
- You mention "the table below" but I think it got moved to the appendix.
- Also, you say how they're separated into three categories, but I don't see that specified.
- You're aware of this/make note of it in the report, but maybe there's a better way to address the NaNs?
- Maybe include like a performance section for how well your different models are working
Overall this was very nicely done.