Pretty big hockey fan, been trying to put together my school and hockey passion for a while now
What it does:
Shows Linear Regression best fit lines through a graph of data comparing previous year points per game and NHL projected points per game
How I built it:
Using Scikitlearn and jupyter I built the linear regression graphs through data I hand manipulated... not fun.
Challenges I ran into:
Getting locked out of hockeydb.com server for using an adblocker and searching up too many players was a hassle.
Accomplishments that I'm proud of:
I'm proud I got this done in the 24 hours, I didn't really know what to expect relating to challenges I might face.
What I learned:
I learned a lot about linear regression and more stats.
What's next for hockey_analytics:
Hopefully some more easily accessible data to strengthen our current datasets.