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1. labssentials labssentials Public

   This is the code for a web app I designed to build reaction tables for chemistry students. Currently a work in progress.

   Python

2. CatcherVariance CatcherVariance Public

   This notebook was designed to measure the variance of catcher pitch calling. Inspired by complaints that Martin Maldonado calls the same pitch over and over.

   Jupyter Notebook

3. catcher-playcalling catcher-playcalling Public

   This code runs simulations on an abridged version of real data from the 2020 MLB season to find certain situations when a pitcher worked significantly better or worse with a catcher than without.

   Jupyter Notebook

4. worst-loss worst-loss Public

   This notebook explores using pandas's groupby().apply() method chain to scan through MLB games and determine which loss was a team's worst loss within the data

   Jupyter Notebook

5. Outfield-Logistic-Regression Outfield-Logistic-Regression Public

   Mining outfield range data from Baseball Savant and running Logistic Regression to classify batted balls and provide player-specific catch probabilities

   Jupyter Notebook

6. NFL-Drives NFL-Drives Public

   In the attached R document, I assess the controversial topic of when to punt vs when to go for it

   HTML