Jupyter notebook for interactively analysing Fantasy Premier League (FPL) players and optimising your team's performance
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Updated
Jul 24, 2021 - Jupyter Notebook
Jupyter notebook for interactively analysing Fantasy Premier League (FPL) players and optimising your team's performance
Repository dedicated to notebooks concerning soccer analytics
Jupyter notebooks about politics, sports...
Jupyter notebooks to help in FPL
This is a not so short notebook about Spanish football league in 2011-2012 season.
This repository includes the raw and treated data for the accomplishment of my dissertation, along with the Jupyter Notebook files and developed code.
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.
This project aims to provide an all-in-one Jupyter notebook covering the entire pipeline for football player classification in Snowpark. From data ingestion to model inference.
This repository will include data on the NFL in which I will take a deep dive into data about the games, Jupyter Notebook and Python will be used in this repository.
Explore a collection of Jupyter notebooks showcasing visually engaging data analyses and visualizations related to football (soccer). Dive into player statistics, team performance, market values, and more, all brought to life through data science and visualization techniques.
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