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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Statistical Analysis
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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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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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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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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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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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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Predicting the Next Pitch: A Markov Chain Approach
I’ve written in the past about using machine learning to predict a pitcher’s next pitch, which is a particularly difficult problem. This blog
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Survival Analysis: How Long Do Careers Last?
Survival analysis inspects, well, how long an entity survives. In less morbid terms, it’s a methodology to understand time until event. This blog
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Factor Analysis on HoF Stats
Factor analysis is a methodology to reduce data complexity. Factors are latent variables that represent underlying constructs in data. An interesting baseball-related application
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