"Abstract (0.775/1)
You need to state which kind of model are you going to use. -Yicheng
What kinds of ML models will you use? Be sure to mention this in the future. -Jason
Background (1/1)
Research Problem(& Significance, Purpose of the project) (1.5/1.5)
Data (1.125/1.5)
Something to consider: if you are going to use one-hot encoding, how many dimensions do you need? Also, how would you combine your data? - Yicheng
It will be better to describe the meaning of key variables in order to make readers better to understand. -Jason
Proposed Solution (1.35/1.5)
A model based on probability distribution might not be sufficient. You might want to find a pre-existing model. Since you are using Kaggle dataset, there should be some pre-existing model there.
Metrics (1.5/1.5)
Ethics & Privacy (0.5/0.5)
Team Expectations (0.25/0.25)
Timeline (0.25/.25)
Other Comments - Make sure to implement all of the feedback mentioned here. If you make these changes for your Project Checkpoint, you will recieve points back on this proposal assignment!"
Total: 8.25/9
"Abstract (0.775/1) You need to state which kind of model are you going to use. -Yicheng What kinds of ML models will you use? Be sure to mention this in the future. -Jason
Background (1/1)
Research Problem(& Significance, Purpose of the project) (1.5/1.5)
Data (1.125/1.5) Something to consider: if you are going to use one-hot encoding, how many dimensions do you need? Also, how would you combine your data? - Yicheng It will be better to describe the meaning of key variables in order to make readers better to understand. -Jason
Proposed Solution (1.35/1.5) A model based on probability distribution might not be sufficient. You might want to find a pre-existing model. Since you are using Kaggle dataset, there should be some pre-existing model there.
Metrics (1.5/1.5)
Ethics & Privacy (0.5/0.5)
Team Expectations (0.25/0.25)
Timeline (0.25/.25)
Other Comments - Make sure to implement all of the feedback mentioned here. If you make these changes for your Project Checkpoint, you will recieve points back on this proposal assignment!"