Inspiration
Losing money on GameStop
What it does
Ranks businesses as successful or not based on the consistency of their growth. Quantifies business similarity and recommends possible vendors.
How we built it
Python, jupyter notebooks, pandas, numpy, matplotlib
Challenges we ran into
Data wrangling, messy data, what metrics are the most useful for conveying certain information.
Accomplishments that we're proud of
Manually performing every step of the data science pipeline and creating in house ranking and prediction models based on intuition and mathematical principles.
What we learned
Consistency is important for business growth.
What's next for Business Success and Similarity
Testing possible x^2 or exponential regression for business success. Exploring upticks and downticks in spending, especially in 2020. Testing Collaborative filtering and Locality sensitive hashing for similarity.

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