A free sports API written for python

Sports Federation Management System is a comprehensive platform designed to streamline the management of sports federations. It provides tools for managing athletes, competitions, referee assignments, and transfer processes. The system aims to simplify operations and enhance transparency within the federation's activities

Support athletes or teams and donate with him/her/they.

An R package to model the In situ Acceleration Speed Profile based on GPS measures

Data Analysis of Olympic Games (1896-2022)

Preprocecssing of Team Novo Nordisk (TNN) cycling and diabetes data

This is a historical dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.

Enables strength and conditioning coaches to record, monitor, and track their teams' and athletes' performance statistics and injuries. As well as visualize key trends in data across their teams and athletes. This backend uses Rails as an API, BCrypt, PostgreSQL, and Faker. Frontend repo: https://github.com/ckaiser258/Final_Project_Frontend

Analysis of Team Novo Nordisk (TNN) cycling and diabetes data

An analysis for the highest paid athletes for a 10 year span in Python. The data set is from the Forbes list that compiled their net worth.

Generate Performance Management Chart (PMC) for athletes, and give athletes suggestions about training loads.

The Colorado activity recommender. This is an application I did for my data science immersive capstone project with Galvanize.

Compare your sprinting speed to professional athletes.

Your contact in case of emergencies

Olympic Athletes Dashboard App

Olympic Athletes Dashboard App

Scraping data of past Olympic athletes

Stimulus Motivational Quotes App is a free inspiring app that shows you a new motivational quotes , Biographies and Important lessons , at a time of your choosing.

Data on the 11,500+ athletes and 306 events at the Rio Olympics. Includes medals tallies

Using data taken from the modern era of the Olympic games we were able to perform certain analysis to give insight into correlations and numerical patterns regarding the participants of these sporting events.