TITLE: UofT-DSI | LCR - Assignment-1 #192
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
I did data exploration and implemented KNN and calculated the accuracy of the model.
What did you learn from the changes you have made?
I learned how to determine the optimal number of neighbors using GridSearchCV.
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
I can use cross-validation and hyperparameter tuning to improve accuracy of the model.
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
N/A
How were these changes tested?
I tested them in Jupyter notebook.
A reference to a related issue in your repository (if applicable)
N/A
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