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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

Added the completed Jupyter Notebook for Assignment 1

What did you learn from the changes you have made?

Learned about KNN, standardization, train/test splitting, grid search, and how tuning affects accuracy

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

How were these changes tested?

Executed each cell in the notebook, verified model outputs

A reference to a related issue in your repository (if applicable)

Checklist

  • I can confirm that my changes are working as intended

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