Alternatives and similar repositories for baseball:

Users that are interested in baseball are comparing it to the libraries listed below

• octonion / betting
  Betting data and analytics.
  ☆34Updated 3 years ago
• vincentarelbundock / Reinhart-Rogoff
  Reinhart Rogoff replication files: Python stats with IPython notebook
  ☆28Updated last year
• EvanZ / bayesian-win-probability
  using probabilistic programming to build win probability model for NCAAM basketball
  ☆17Updated 4 years ago
• christopherjenness / NBA-analytics
  Short, offhand analyses of the NBA
  ☆41Updated 6 years ago
• fonnesbeck / enar_2019_tutorial
  A Primer on Python for Statistical Programming and Data Science
  ☆26Updated 5 years ago
• eightyfivepoints / World-Cup-Simulations
  ☆12Updated 6 years ago
• QuantEcon / quantecon-notebooks-datascience
  Jupyter Notebooks for https://datascience.quantecon.org
  ☆43Updated 4 years ago
• uc-python / intermediate-python-datasci
  Intermediate Python for Data Science Workshop
  ☆24Updated 6 months ago
• NYUDataBootcamp / Materials
  Materials used in class when teaching Data Bootcamp at NYU Stern.
  ☆26Updated 6 years ago
• romanlutz / NFLPlayPrediction
  Based on NFL game data, we want to predict the success of a play. This can be used to insert different strategies before the play is call…
  ☆35Updated 8 years ago
• Fossj117 / NBAdata
  Contains scraper in R for grabbing NBA Sport Tracking Data
  ☆54Updated 10 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆25Updated 7 years ago
• octonion / basketball-m
  Men's basketball tools, data and analytics.
  ☆34Updated last year
• sarahmallepalle / next-gen-scrapy
  ☆29Updated 5 years ago
• mtpa / sads
  Sports Analytics and Data Science
  ☆49Updated 9 years ago
• mtpa / wnds
  Web and Network Data Science
  ☆21Updated 9 years ago
• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 5 years ago
• arvkevi / nba-roster-turnover
  Interactive exploration of NBA roster turnover
  ☆14Updated 5 months ago
• TomAugspurger / Greene_Econometrics
  ☆16Updated 11 years ago
• QuantEcon / quantecon-notebooks-datascience-old
  ☆13Updated 5 years ago
• BillPetti / Statcast-Modeling
  Model/predict batted ball outcomes with Statcast data
  ☆20Updated 8 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• mattbrondum / Fantasy-Football-Optimization
  Fantasy football optimization modeling using integer programming
  ☆21Updated 7 years ago
• basketballrelativity / basketball_data_science
  Working through Basketball Data Science
  ☆24Updated 4 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆65Updated 9 years ago
• mmcky / nyu-econ-370
  Quantitative Economics with Python Course (NYU) Spring 2016
  ☆54Updated 8 years ago
• statsbylopez / StatsSports
  Material for Skidmore College, Statistics in Sports
  ☆71Updated 4 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago