Proyecto de ingeniería inversa a las apuestas deportivas para describir el futbol desde una perspectiva distinta
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Updated
Jul 28, 2022 - Jupyter Notebook
Proyecto de ingeniería inversa a las apuestas deportivas para describir el futbol desde una perspectiva distinta
Analysing data of World Cup History using pandas, numpy, and matplotlib. (data science)
A story about the lookout for football wonderkids for EPL, told with data and analytics. (Universiti Malaya - Masters of Data Science)
Football transfer flow mapping and analysis.
web scrape performed for Kaggle dataset.
Analysis and clustering of pass-pass-pass-goal events in football
Gaining insights from Euro Football dataset 2008-2016
Python Football Analytics workshop at Southfields Academy Dec '22. Introducing novices to applied Computing, Math, and Data Science skills for replicating example FIFA Football Intelligence as produced in Qatar Men's World Cup post match summary reports.
Football data analysis for learning purpose
NFL data viz
A repository for exploratory analysis of European football league data using SQL in Python.
Valuing passes using Football Tracking Data
This repository contains a dataset of Lionel Messi's Club Career Goals and a dashboard to analyze and answer some questions about the data. The results of the analysis can be found in the result.txt file.
This repository will be looking at Football doing a range of different activities with football data this will include Exploratory Data Analysis, Data visualization, Web scraping, machine learning applications and many other topics. This repository will consist of mainly Jupyter Notebooks and Python programming language.
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.
You think football/soccer betting can be automated ? Check out my POC and feel free to collaborate
This project uses machine learning to model sports event data to quantify performance.
Data-Driven Football Project
It is a system that trades according to the success of the teams in sports and other fields.
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