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Project 0 - Project Grading Overview

Part of the lecture series "Projects":
https://nickderobertis.github.io/fin-...

Full Course Website:
https://nickderobertis.github.io/fin-...


Notes
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The biggest part of the typical project grade is accuracy, but that only represents 60% of the total.
Answers with the baseline model inputs are often provided, so use these to ensure you have built the model correctly. But you cannot rely on these alone. Your model needs to be able to work with any reasonable value for any input and adjust appropriately. After you have matched the baseline result, then start changing around the inputs and ensure that your model responds in a way that is logical and consistent with the change in the input.
I have built out automated grading for the first three projects for the accuracy. It will tell me if everything in your model works properly. In order for this auto-grading to work properly, you need to conform to the expectations of the project, this is why I make following the template a separate grade.
If the auto-grader finds that your model does not work properly, then I go through it in detail to understand where the issues are occurring. I fix the issues one by one until your model works properly. Then I give comments on where exactly you went wrong and take off points appropriately.
Regardless of the auto-grading, I go through everyone's model line by line to assess the readability and formatting of the model.

Resources
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Project Grading Overview: https://nickderobertis.github.io/fin-...