moneyball

jk1mm/moneyball-app

Realtime MLB Insights using Streamlit

fabriziolufe/Using-Pythagorean-Expectation---EPL-Case-Analysis-Regression-

Repository where you can find my recent work in Sports Data Analysis. In this case, we are inspiring on Moneyball's Bill James calculations adapted to football. More info: https://www.linkedin.com/feed/update/urn:li:activity:6810238034794090497/ Certificate obtained in Sports Perf Analytics Spec: https://bit.ly/3XGbvOL

Lteez/CZCoin

andrewmelville/Recreating-the-Results-of-Moneyball

A short notebook analysing batting statistics from the 1983 baseball season. The broad aim of the project is to design models that can predict a players salary from some of their offensive performance statistics.

ChArliEcOoK222/moneyballFM22

This is a program which uses data exported using the view and google sheets shown in this video. This data is then imported as a csv file into this program which can then be used to visualise the data and chose players to scout and sign based on statistics.

LeondraJames/DS-Bootcamp-Capstone-Mondayball

Data Science & Machine Learning Data Capstone based on Moneyball dataset

oliverc1623/StatDiamond

AI-Driven Insights into Baseball Performance, Business, and Analytics

d-t/moneyball-fantacalcio

Apply Moneyball approach to Serie A Fantacalcio data.

hritikb/Moneyball-Uncovering_the_process

My first project on sports analytics. Used ML techniques to arrive at the same conclusions as mentioned in the book 'Moneyball' by Michael Lewis.

ialonsolinares/Football-Scouting-using-Machine-Learning-with-PySpark

Inspired by the film moneyball, this repo contains the files to replicate a way of doing real football scouting: collecting all the transfermarkt player economic values and the player statistics of APIfootball.com of the current season.

mhliu0419/R_CapstoneProject_Moneyball

Use R to do data analysis on the data set of baseball players in MLB and try to select desired players according to qualifications.