- Los Angeles / SF Bay Area
- https://www.linkedin.com/in/z-skigen-591054206/
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TidyTuesdays Public
TidyTuesday is a weekly social data project and is organized by the Data Science Learning Community. Here are some of my projects!
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Conducted an analysis of MLB pitch data using the baseballr package in R. Applied Principal Component Analysis (PCA), leveraging linear algebra techniques to decompose and reduce the dimensionality…
UpdatedMay 25, 2024 -
EDA---Stolen-Bases-2023 Public
Conducted exploratory data analysis on 2023 stolen base trends using data from Baseball Savant and FanGraphs. Utilized BeautifulSoup and API web scraping to gather data, and performed analysis with…
Jupyter Notebook UpdatedMay 25, 2024 -
Pitcher-Tommy-John-EDA Public
I used pybaseball and open Tommy John data to analyze certain characteristics associated with Tommy John Surgeries at the Major League level.
Jupyter Notebook UpdatedMay 25, 2024 -
Developed an MLB team win prediction model in R using the Lahman Baseball Database. Employed Ridge Regression and Lasso for smoothing and shrinking methods, Best Subsets Regression for optimal pred…
UpdatedMay 25, 2024 -
RandomForestClassifier model for predicting pitch types in baseball
UpdatedMar 20, 2024