How To Win A Data Science Competition
Last Updated on July 24, 2023 by Editorial Team
Author(s): Brandon Walker
Originally published on Towards AI.
This article is about in-person data science competitions that are judged holistically, and not graded by some accuracy metric (like Kaggle). I have participated in two data science competitions (placed 4th and 1st), and I’ve mentored at Texas A&M’s first-ever datathon (3 out of the 4 teams I worked with won prizes). Consequentially, I have seen many projects, and I have noticed some trends between winners and losers. Here are my suggestions for improving your chances of winning.
Currently, I see a lot of data science projects that are just Jupyter notebooks. Unfortunately, these are frequently filled with code cells and… Read the full blog for free on Medium.
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