Data on the 11,500+ athletes and 306 events at the Rio Olympics. Includes medals tallies
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Updated
May 27, 2021
Data on the 11,500+ athletes and 306 events at the Rio Olympics. Includes medals tallies
Scripts and tools to help in parsing the Olympic Data Feed from the International Olympic Committee
An unofficial API for the Paris 2024 Olympics and Paralympics medal tally.
🎓(RU) Решения задач с курса Сириус "Введение в алгоритмы"
Predicting the medal table of the Summer Games
🥇 A project for analyzing Olympic medal data with R, combining TidyTuesday records and World Bank indicators to assess raw medal counts, efficiency metrics, and economic context. It generates diverse visualizations, performs regression and clustering, and reveals patterns in national Olympic performance.
The goal of this project is to make a prediction model which will predict whether an athlete will win a medal or not.
Find out which countries have won the most medals and how the participation of nations has changed over time, with R
Scrape Olympedia data efficiently with Threading Concurrency and analyze it using PostgreSQL for insightful Olympic history exploration.
A github repository for holding the 2020 Olympic medal results.
Team tryCatchUs submission for Codedex Hackathon 2024
Analyzing 2020 Summer Olympic Dataset
Project during College utilizing Python with database and matplotlib -> made on November 21, 2021
Scraper API for iwf.sport in Python
🏐 [WIP] Python client for the Volleyball Information System (FIVB VIS)
This project is a Streamlit-based interactive web application that allows users to explore 128 years of Olympic history (1896–2024) using data analysis and visualizations.
This ML model predicts the medal count for various countries in the Olympic Games using Linear Regression.
We've created the most insanely great way to visualize 120 years of Olympic achievement—a revolutionary tool that doesn't just show you data, it reveals the very soul of human athletic excellence.
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