There are 1 repository under athletes topic.
A fluent API to integrate with Strava on Android apps
The Colorado activity recommender. This is an application I did for my data science immersive capstone project with Galvanize.
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
A basic athlete dashboard built in Shiny that enables coaches send notes directly to athletes's phone from the app.
Find friends and routes on Strava
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.
Generate Performance Management Chart (PMC) for athletes, and give athletes suggestions about training loads.
Data Analysis of Olympic Games (1896-2022)
Your contact in case of emergencies
A statistics web app for athletics organisations
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.
This is a historical dataset on the modern Olympic Games, including all the Games from Athens 1896 to Rio 2016.
Repository on the development of the Final Degree Project in Health Engineering, which will focus on the effectiveness of probiotic supplementation in CrossFit athletes.
A website for a fictitious Sport Psychology company called Sportance.
A repository related to a master thesis in electronics, informatics and technology. Title: "Comparing Cardiological and Algorithm-Based ECG Interpretation in Athletes: Can Artificial Intelligence Improve the Algorithms?"
An R package to model the In situ Acceleration Speed Profile based on GPS measures
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.
Compare your sprinting speed to professional athletes.
Olympic Athletes Dashboard App
Olympic Athletes Dashboard App