football-analytics
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Updated
Jun 6, 2024 - Jupyter Notebook
football-analytics
Streamlit app to present Football Player Evaluation
Scraping data from spanish football La Liga website
Detailed fantasy football analysis for your sleeper leagues
This is an application to generate random but as balanced as possible teams for playing football. As much as it tries to make balanced teams, there is always some randomness in the code, so that things will get generated differently everytime. Which brings us to a point that might never exactly balanced but as close as possible.
This project is designed to analyze football matches using computer vision techniques
Football management system DBMS python GUI project repository
Football Data Processing & Visualization
A multiplicative rating model for football written in Python
Football Manager game based on a browser, where your mission is to build your dream team, upgrade your stadium, and rally your fans to create a powerhouse club
My aim to develop a model that predicts the scores of football matches. My code (python) implements various machine learning algorithms to analyze team and player statistics, as well as historical match data to make informed predictions.
A Premier League football dashboard.
Prediction of Premier League results using Machine Learning
First project ever!
Welcome to Football StatPadderz – Your Ultimate Football Stats Hub! At Football StatPadderz, we live and breathe football stats. Whether you’re a die-hard fan, a fantasy football enthusiast, or a data nerd, we’ve got everything you need to stay on top of the game.
An interactive web application to visualize events from various football matches
This is my first Data Science project with python language, My project I use lionel messi statistic to make a data analysis by using the number of doors as a measurement and analysis.
A tailored web analytics solution for football odds or similar data-driven projects.
This is repository is related to building end to end data pipeline for football leagues analysis and predictive modeling.
This project showcases an interactive Tableau dashboard that visualizes various statistics and insights about the UEFA Champions League, one of the most prestigious football tournaments in the world.
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