BrandonLCC/FIFA_ML_Kedro
En este proyecto de Machine learning estudiaremos los atributos de los jugadores, las métricas de rendimiento, la valoración de mercado, el análisis de clubes, el posicionamiento y el desarrollo de los jugadores a lo largo del tiempo.
Stars
—
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 16, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/BrandonLCC/FIFA_ML_Kedro"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mhaythornthwaite/Football_Prediction_Project
This project pulls past game data from api-football, and uses this to predict the outcome of...
nickpadd/EuropeanFootballLeaguePredictor
A machine learning/statistical model to derive prediction probabilities for football matches of...
knaggita/Football-Dataset-Analysis
Football Dataset Analysis group project
octosport/octopy
Python implementation of various soccer/football analytics methods such as Poisson goals...
mcekovic/tennis-crystal-ball
Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction