Constructed, evaluated and tuned four model pipelines. #86
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
Added code to construct, evaluate and tune four model pipelines.
What did you learn from the changes you have made?
I learned how to use scikitlearn to evaluate and select hyperparameters.
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
I read about a variety of hyperparameters to tune for both KNN Regression and XGBoost.
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
Yes- they are ongoing. I need help but I am just making this PR in case someone can help me with it.
How were these changes tested?
A reference to a related issue in your repository (if applicable)
Checklist