Java client for sportdataapi.com
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Updated
Dec 15, 2021 - Java
Java client for sportdataapi.com
This is a data wrangling project where the main objective was to parse data from multiple large JSON files in usable format for further analysis. In this project, several tools were developed and applied on datasets related to the Spanish League for demonstration purpose. The resulting datasets can be used for further exploratory analysis, clust…
Implementation of the VAEP framework including a new version: Hybrid-VAEP.
To identify young soccer players who posses the potential to become the next Kylian Mbappé. Also, Linear Regression practice.
Simple ETL process. Scraped information from 'La Liga'(Soccer league in Spain) and loaded into SQL Server for further analysis
Europearn Football League matches analysis using PostgreSQL
Access the site ➡️
Python data analysis and visualization.
This project strives to show how one can begin to understand soccer (fútbol) set piece strategy with event tracking data.
parsing and bid analysis of the zulubet website
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…
Config files for my GitHub profile.
An app for searching the historical standings of different football leagues!
This is a website created for the Web Tech class final project.
PHP library for the MLS API. 🐘
Working with spatiotemporal soccer data from RoboCupSimData
Personal Interest Only. Try to apply data analysis and data visualization in real world application.
A dashboard whit information about Soccer Leagues from BRA and US.
Scrapedia is a scraper specifically designed to extract Brazilian soccer data from Futpédia's webpage.
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