Final Peer Review

[mkoppar]

This project focuses on finding the relationship between government regulations and a country's disease and death share attributed to drug use. They also try to predict drug leniency's impact in the United States by considering their effects in other nations.

Things I like about the project:
The group did well by explaining how they preprocessed their data. They adopted methods like taking the log of the data to transfer into a normal-like distribution and visualizing the data.
They clearly outline potential solutions, future improvements, and data scarcity they encountered while formulating their model.
The visualizations in their report, as well as addressing the fairness of their model

Improvements:
The group could have used more techniques from the class, like using some nonlinear models for prediction purposes.
The group could have mentioned how you split the dataset for training validation and testing.
Moreover, I would also suggest adding a table to summarize the results obtained from different models, which will make the comparison more accessible and straightforward.