Feeding my curiousity data https://davidvollendroff.github.io/ Addressing shortcomings of the "Centers Only" approach - 2020 All-NBA Voter Prediction Kristian Winfield wrote an excellent piece for SBNation detailing the multimillion-dollar ramifications these votes can have. And now that the official voting results are in, let’s take a look at what understanding and added value we can generate through Data Science. The Trouble With Centers In... Sat, 19 Sep 2020 00:00:00 -0700 https://davidvollendroff.github.io/2020-09-19-All-NBA-Update/ https://davidvollendroff.github.io/2020-09-19-All-NBA-Update/ An exploration of the algorithm - Linked here is a Colab notebook which will walk you through the process of implementing the K-Means Clustering algorithm. Fri, 29 May 2020 00:00:00 -0700 https://davidvollendroff.github.io/2020-05-29-K-Means/ https://davidvollendroff.github.io/2020-05-29-K-Means/ Using machine-learning to model voting - 2020 All-NBA Centers Congratulations to Karl-Anthony Towns, Joel Embiid and Andre Drummond on being named to the 2020 All-NBA squads. If only it were that simple. While these are the honest results of my predictive models, there are some things to consider before you go placing bets in your favorite... Fri, 10 Jan 2020 00:00:00 -0800 https://davidvollendroff.github.io/2020-01-10-All-NBA-Centers/ https://davidvollendroff.github.io/2020-01-10-All-NBA-Centers/ The data behind speed and rank in Rocket League - “Play faster.” It isn’t without merit, and its proponents aren’t fools. But it’s crap advice. You’ll often hear this advice given to players who find themselves in a rut, chasing an elusive promotion. Those offering speed as a solution will often point out, “Look at how fast Grand Champion players... Fri, 22 Nov 2019 00:00:00 -0800 https://davidvollendroff.github.io/2019-11-22-Play-faster,-they-said https://davidvollendroff.github.io/2019-11-22-Play-faster,-they-said