33 lines
No EOL
1.3 KiB
Markdown
33 lines
No EOL
1.3 KiB
Markdown
**Team 3**
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1. Adam
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2. Brent
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3. Zayn
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## Dataset
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- [Intel Image Classification](https://www.kaggle.com/puneet6060/intel-image-classification)
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Extract this into data/ (data/seg_pred, data/seg_test, data/seg_train)
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### Evaluation and Conceptual Understanding
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- Does the student accurately identify and explain the baseline score?
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- Does the student select and use metrics relevant to the problem objective?
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- Does the student interpret the results of their model for purposes of inference?
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- Is domain knowledge demonstrated when interpreting results?
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### Project Organization
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- Are modules imported correctly (using appropriate aliases)?
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- Does the README provide a good executive summary of the project?
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- Is markdown formatting used appropriately to structure notebooks?
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- Are there an appropriate amount of comments to support the code?
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- Are files & directories organized correctly?
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- Are there unnecessary files included?
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- Do files and directories have well-structured, appropriate, consistent names?
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### Python Syntax and Control Flow
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- Is care taken to write human readable code?
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- Is the code syntactically correct (no runtime errors)?
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- Does the code generate desired results (logically correct)?
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- Does the code follows general best practices and style guidelines?
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- Are Pandas and sklearn functions used appropriately? |