A Python API to retrieve and read MLB GameDay data
Python Baseball Data and Analysis
An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.
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.
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.
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.
(a budding sabermetric tool for research of college teams)
A Python application and library that generates comprehensive advanced stat summary sheets for MLB players, customizable by year, providing in-depth analysis and visualizations. It can also be used as a library module, enabling users to develop their own features and extend functionality for custom applications and data processing needs.
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