Inspiration
Question 2 seemed to have the largest positive impact on the largest amount of people.
What it does
We analyzed data given to us and we made key objectives to look out for when deciding when a state is underserved or underrepresented.
How we built it
We used AWS Glue Databrew to clean the data and join different tables.
Challenges we ran into
We have the data to create a machine learning model, but we faced struggles fully implementing it.
Accomplishments that we're proud of
I like the amount of data driven results that we have illustrated, and it feels like we're true data scientist.
What we learned
Lots on how to make data consistent so that we aren't chasing for seemingly random clues.
What's next for Team Rocket - Question 2
Continue with projects that keep challenging new avenues of learning.
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