This project provides a comprehensive analysis of the Eurovision Song Contest, with insights derived from both traditional statistical methods and machine learning techniques.
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Updated
May 8, 2023 - Jupyter Notebook
This project provides a comprehensive analysis of the Eurovision Song Contest, with insights derived from both traditional statistical methods and machine learning techniques.
An app for creating, sharing, and analyzing rankings of Eurovision contestants from 1956-2024.
Allocates out all Eurovision entries for a number of players
Predicting which countries will qualify in Eurovision Song Contest
We've got everything you need to keep up with the latest movies, TV shows, music, sports, and websites. We're constantly updating our content with the newest releases and hottest trends, so you can always find something new to watch, listen to, and explore.
A solution for analyzing historical Eurovision contest data using PostgreSQL, Neo4j, and GraphQL.
This is the server side of the eurovision voting application.
Code to deploy an interactive dashboard of Eurovision using Streamlit Cloud.
This is an eurovision-themed web app where you can explore european songs and create playlists
Stworzyłem program umożliwiający ocenę piosenek wybranych do udziału w Eurowizji, plik z ocenami zapisuje się w wybranym przez użytkownika miejscu
Web application for rating Eurovision Song Contest entries
Exploratory Data Analysis on the ESC 2024 results
Dashboard Eurovision Song Contest menggunakan Shiny (R).
A short and simple web app to allocate out countries for any number of people to support during Eurovision
This is a web full-stack voting application for having fun with your friends while watching Eurovision Song Contest.
A web-scraper for collecting data on the Eurovision Song Contest
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