A Python API to retrieve and read MLB GameDay data
An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.
Python Baseball Data and Analysis
Public Repository for Baseball Prospectus
Download, parse, and wrangle Lahman and Retrosheet data to tidy csv files. Analyze with Python and Pandas in Jupyter notebooks.
MLB Data Explorer
The repo for www.mlbtradetrees.com. Analyze any trade in baseball history!
Unofficial .NET SDK for the MLB Stats API.
machine learning models for predictions on baseball data
Data Science Projects done at Data Trained Education during PG Data Science & ML Course
Identify the name of a pitch being thrown using a machine learning model.
R package for importing historical baseball data from Retrosheet
This project provides the formulas to calculate multiple advanced baseball statistics like wOBA, wRAA, wRC, ISO, BABIP, FIP, WHIP. It also provides an application that allows the user to interact with the data by selecting multiple players to compare their stats.
Predicting MLB player salaries and team wins with machine learning regression models.
AWS-hosted program to collect and prepare a database of MLB games to be used to build a machine learning model for predicting what team will win a game.
(a budding sabermetric tool for research of college teams)
Monte Carlo runs simulation for baseball lineups
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