LCR Assignment 3 Submission #226
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
Adding code as per the given requirements.
What did you learn from the changes you have made?
Data visualization, k-means clustering, KNN algorithm, Regression, cross validation, bootstrapping, Python libraries numpy, Panda, Scikit learn etc.
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?
Difficult to memorize the syntax and functions. Trying to get help from copilot
How were these changes tested?]
Executed the code on VS code application.
A reference to a related issue in your repository (if applicable)
Checklist