Inspiration
Wanted to use machine learning in a dataset that would have an impact. I had worked with Stanford's datasets before in previous contests, and SOPP dataset looked perfect for a project on data cleaning and preprocessing.
What it does
Aggregates information of traffic stop details in the US
How we built it
Using Python and its libraries like Pandas, Matplotlib, Numpy, Seaborn
Challenges we ran into
Visualization was very difficult, so we had to refer to the documentation quite a few times to see methods that could be used. Also categorical data had to be encoded.
Accomplishments that we're proud of
Getting this done :D
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