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Homework 3 (due 1/31 at 11:59pm)

As homework, you will complete and submit the in-class exercises from lecture.

Please copy each line of the grading rubric (including number) into a markdown element in your jupyter notebook that matches the cell that completes it, so we don't miss anything during grading :-)

GRADING RUBRIC for Homework 3:

1. Correctly handle missing values in the dataset, with a paragraph explanation justifying your choice	5 points
2. Correctly reducing the number of features you use, with a paragraph explanation justifying your choice	5 points
3. Correctly reduce the cardinality of one feature	5 points
4. Correctly scale/normalize at least one feature	5 points
5. In a paragraph, discuss if there are any features you would one-hot encode (or why they are all fine). [No need to actually one-hot encode unless you want to]	5 points
6. What features might you engineer, if you had the time and resoures? Discuss in a paragraph. [No need to actually engineer the features unless you want to]	5 points

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