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Keenan Zucker in Five Thirty Great

Data Science Final Project Architecture

We wrote a lot of code for this project, in many iterations and versions. We tried to compile the most relevant and important work into these three notebooks, available at our GitHub Repository

Exploration Notebook

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Keenan Zucker in Five Thirty Great

Data Science Documentation

The game of basketball has gotten increasingly data-driven in the last couple of years, with companies like SportsVU tracking player movements with cameras above all games and companies like Second Spectrum using that information for data analytics and machine learning. We wanted…

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Keenan Zucker in Five Thirty Great

Final Deliverable Visualization

Interactive Tool can be found HERE.

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Keenan Zucker in Five Thirty Great

Final Poster — Data Science Spring 2016

Go to the profile of Keenan Zucker
Keenan Zucker in Five Thirty Great

Entry #2 → Moving Forward with Modelling

We’ve been working on this project for about four weeks now, investigating what we can do with NBA statistics and data. Our progress has led us to two tools, a shot predictor tool and an animation of the game. But first, we had to gather data!

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Go to the profile of Keenan Zucker
Keenan Zucker in Five Thirty Great

Our Explorations with NBA Data

To begin this project, we explored all the statistics available from stats.nba.com, as this seemed to be the place that we could get the most extensive basketball statistics. The website has a ton of both player and team stats, sorted by things such as different play types…

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Five Thirty Great
Five Thirty Great
Blog and Documentation for Data Science Spring 2016 at Olin College. We are investigating NBA data.
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