World Series Predictions
Who will win the World Series? That is the classic question asked before the start of every MLB season. As with many baseball
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data science
Tutorial: Machine Learning on Cy Young Voting
This post serves as a tutorial for building machine learning models in Python. The entire codebase for this tutorial can be found on
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Are MLB Stars More Ephemeral?
I have long hypothesized that current MLB stars are more ephemeral compared to past decades. That is, they more quickly come and go,
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Analyzing the MLB’s Home Run Boom
In recent years, Major League Baseball has experienced a boom in home runs. Anyone who remotely follows the game likely know this fact.
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R Analysis of Rookie Data
The below is the HTML output of an R Markdown file I recently completed for a class project. The project isn’t perfect (I
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Deep Learning on MLB Shift Images
The shift is a major tactical tool in baseball, one that has gained substantial attention recently due to its increased use. Some teams
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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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How Good (or Bad) Could the Royals Be?
I’ve always found simulation modeling to be highly informative. Given certain conditions and logic, what is likely to happen given repeated trials? What
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Testing Hypotheses using Data Viz
As documented previously on this blog, I am a pretty big Royals fan. The month of July was, then, pretty exciting for me
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