MLB Attendance Time-Series Predictions
Many people who follow the MLB know attendance is down in 2018. The season will likely end with a year-over-year attendance decline of
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A Review of Baseball Data Sources
Hello, readers! Its been a while. I’ve taken a slight hiatus from blogging, but I have a few projects in the pipeline. To
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Multi-Armed Bandit Explore-Exploit Framework
I recently read an interesting article about about the concept of “openers.” The article shared the idea of having a reliever pitch the
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Machine Learning to Predict Player Decline
This past off season was interesting for the MLB. Mike Moustakes never signed a big contract. All-star players like Eric Hosmer and Jake
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Forecasting Mike Trout’s Wikipedia Searches
At the moment, Facebook is a controversial company. However, data scientists can probably agree on this statement: Facebook’s prophet forecasting package is awesome.
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Game Theory Applications in Baseball
Game theory is the science of strategy. It determines how logical “players” should behave in strategic contexts and predicts the utility the “players”
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Building an At-Bat Simulator
Simulation modeling is one of my favorite forms of analysis. Understanding how a process operates under certain conditions has always fascinated me. What
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OPS Projections with Machine Learning
As spring training approaches, the excitement for a new season becomes fresh. Fans and commentators alike discuss teams’ prospects, and multiple organizations release
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When Will a Pitcher Surrender a Run?
Here’s the scenario: Eighth inning in a tight game, a lefty walks to the plate against a right-handed pitcher. Any baseball fan knows
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Using Machine Learning to Predict Baseball Hall of Famers
Being inducted into Major League Baseball’s Hall of Fame (HoF) is the highest honor a baseball player can receive. The achievement is rare;
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