Image classification neural network
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Team 3

  1. Adam
  2. Brent
  3. Zayn

Dataset

Evaluation and Conceptual Understanding

  • Does the student accurately identify and explain the baseline score?
  • Does the student select and use metrics relevant to the problem objective?
  • Does the student interpret the results of their model for purposes of inference?
  • Is domain knowledge demonstrated when interpreting results?

Project Organization

  • Are modules imported correctly (using appropriate aliases)?
  • Does the README provide a good executive summary of the project?
  • Is markdown formatting used appropriately to structure notebooks?
  • Are there an appropriate amount of comments to support the code?
  • Are files & directories organized correctly?
  • Are there unnecessary files included?
  • Do files and directories have well-structured, appropriate, consistent names?

Python Syntax and Control Flow

  • Is care taken to write human readable code?
  • Is the code syntactically correct (no runtime errors)?
  • Does the code generate desired results (logically correct)?
  • Does the code follows general best practices and style guidelines?
  • Are Pandas and sklearn functions used appropriately?