Inspiration
We are doing the Bill.com track
What it does
For company in a data set, it gives a similarity score to every other company and then uses it to recommend new vendors for a particular ISO category.
How we built it
We wrote all our code in jupyter with anaconda
Challenges we ran into
Formatting was very difficult as well as parsing through the large set of data.
Accomplishments that we're proud of
We are proud of getting our data to give us some logical results which sanity checks our process.
What we learned
We learned a lot about transaction data, iso groups and developing models that
What's next for Bill's Recommendation
idk
Built With
- anaconda
- python
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