It is an interesting topic in this project, and meaningful in real world application in saving people’s live.
I liked your project in the following ways:
A clear presentation of your work through tables (feature engineering), also clear explanation of what models you have used in the report.
A clear explanation of assumptions and justifications.
Great work on result presentation and comparison.
A few things I would suggest to move forward:
Apart from the equations for each of the model, you may want to visualize some of the analysis in each of the model
To be more practical, I would recommend consider some time dependency in the model apart from simply supervise learning methods. Some unsupervised learning methods can also be included in dimensionality reduction and clustering
Great work and good luck in moving forward.
It is an interesting topic in this project, and meaningful in real world application in saving people’s live. I liked your project in the following ways:
A few things I would suggest to move forward: