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For a more data science-y project, I'm having a blast building https://nhlforecasts.com. I live in a town with a hockey team, and figured the best way to become a fan would be to understand the sport from a data driven approach.

I did a ton of work on building an Elo model first, but was getting very compressed results in terms of postseason predictions. I swapped to a Bayesian approach which has really taken off. Not sure how it's going to handle the second round of games approaching, but that's a problem for the future!



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