Download, parse, and wrangle Lahman and Retrosheet data to tidy csv files. Analyze with Python and Pandas in Jupyter notebooks.
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Updated
Feb 16, 2020 - Jupyter Notebook
Download, parse, and wrangle Lahman and Retrosheet data to tidy csv files. Analyze with Python and Pandas in Jupyter notebooks.
Pybaseball Database: Using the Pybaseball Python Package to create a historical baseball database for any use.
Python tools for baseball data from Statcast, the MLB Stats API, FanGraphs, Baseball-Reference, Retrosheet, and the Lahman Database.
TaylorBall is a reproducible MLB game- and season-simulation project built from historical data. It contains Jupyter notebooks that implement three progressive stages of simulation — from simple probabilistic models to more advanced, data-driven approaches — and includes validation comparing simulated outcomes to historical records.
Creating a visual interactive dashboard for the Lahman Historical baseball Database
Lahman databases through the years
Mets ML blog post: https://thefattails.com/putting-mets-lindor-in-perspective/
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