Med48's starred repositories
Football-Analytics-With-Python
A repository for football analytics
how-to-expected-goals
Repository for a how-to on training an expected-goals model for football.
python-for-fantasy-football
Supplementary materials to the Python for Fantasy Football article series on www.fantasyfutopia.com
soccer_analytics
Python project trying to facilitate and being a starting point for soccer analytics projects.
Python-Football-Data-Analysis-Visualization
YouTube Playlist Link: https://youtube.com/playlist?list=PL16VbpX7xKoVeAn6Vp8aJr6xPMvill00m
football-data-analytics
Collection of tools and scripts for analysis and visualisation of football data.
EDA-Mini-Project---FIFA
A new football club named ‘Brussels United FC’ has just been inaugurated. This club does not have a team yet. The team is looking to hire players for their roster. Management wants to make such decisions using data-based approach. During a recent hiring drive, you were selected for the Data Science team as a Junior data scientist. Your team has been tasked with creating a report which recommends players for the main team. To start with, a total 15 players are required. Player data for all teams has been acquired from FIFA. This data contains information about the players, the clubs they are currently playing for and various performance measures. There is a limited budget for hiring players. The team needs 20 possible players to choose from. You have been requested to formulate a report in order to help the management make a decision regarding potential players.
cfg-datascience-task
This repository contains what Hadi Sotudeh did as part of the City Football Group (CFG) data scientist interview task.
football-data-analysis
Football Data Processing & Visualization
Ranking-EFL-League-One-Strikers-using-Machine-Learning
This is project that aims to rank strikers from EFL League One from best to worst using Machine Learning.
Moneyball-for-Football-A-Data-Science-Approach-for-Recruiting-Players.
This project aims to showcase effective player recruitment strategies using data science techniques for football clubs.
football_analytics
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.