R을 이용한 FIFA 21 선수 데이터셋에 대한 분석
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Mar 24, 2021 - R
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soccer-data
Here are 91 public repositories matching this topic...
Java client for sportdataapi.com
java
rest-api
soccer
football-data
footballdata
soccer-matches
sports-data
football-api
soccer-data
sportdata
soccer-data-api
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Dec 15, 2021 - Java
This project utilizes machine learning regression algorithms to predict the outcomes and standings of the current English Premier League (EPL) season. By analyzing historical data and leveraging various regression models, it offers insights into team performance and aims to provide a glimpse into how the EPL season may unfold.
data-science
machine-learning
machine-learning-algorithms
soccer
regression-models
premierleague
soccer-data
soccer-analytics
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Jun 17, 2024 - Jupyter Notebook
Implementation of the VAEP framework including a new version: Hybrid-VAEP.
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May 14, 2024 - Python
Python data analysis and visualization.
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Dec 6, 2021 - Jupyter Notebook
This is an exploratory analysis of the EPL soccer data for the 2018–2019 season. Using Python, I identified interesting trends to answer specific questions from the data.
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Jan 30, 2024 - Jupyter Notebook
Simple ETL process. Scraped information from 'La Liga'(Soccer league in Spain) and loaded into SQL Server for further analysis
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Feb 21, 2022 - Jupyter Notebook
In this project I used the pandas library to manipulate a soccer players data set I found on Kaggle. The goal was to find high value players based on player value compared to player wage and plot all players with a positive difference on an interactive chart.
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Feb 19, 2024 - Jupyter Notebook
Europearn Football League matches analysis using PostgreSQL
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Jul 28, 2023 - Python
Data Science Project Using Soccer Data
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Apr 29, 2024 - Python
Access the site ➡️
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Apr 25, 2024 - HTML
⚽️ Java library for football-data.org's API.
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Mar 1, 2019 - Java
football data api connection
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Nov 13, 2019 - Python
This is a Web system project about Soccer data analysis.
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Feb 4, 2021 - HTML
Streamlit app to present Football Player Evaluation
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Jun 21, 2024 - Python
The program will allow you to enter four clubs. Then you will be inputting six results. Every team a home and an away game against every club. Then the program will output a table in the console which will sort the clubs accordingly based on their results. The table will show their number of wins, losses and draw, goals scored, goals conceded, g…
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Jul 28, 2020 - Python
Config files for my GitHub profile.
python
r
mongodb
soccer
football-data
databricks
soccer-matches
tableau-public
soccer-data
soccer-analytics
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Dec 2, 2021
An app for searching the historical standings of different football leagues!
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Jan 3, 2023 - JavaScript
This project is a data visualization of Arsenal's expected goals (xG) against different formations during the 2022/2023 season. The data was obtained from Understat.com and the chart was created using the Matplotlib library in Python.
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Aug 7, 2023 - Jupyter Notebook
FBref player stats scraper
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Jun 1, 2023 - Jupyter Notebook
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