Weekly Challenges
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Solution uploaded! I feel like I took an approach that worked well for this amount of data but would be hard to extend for a larger dataset. Basically, created a list of end of address names (road, street, avenue, etc). You could add to the dictionary as you have more addresses to parse but there are only so many different address ends.
