RACE TO THE FINISH LINE

Project Objectives

Analyze and created visualizations on an Olympic dataset from 1896 to 2016 to uncover which countries stay at the top overtime, by season, and by sport; and by age and body composition.

Additionally from the Olympic dataset, machine learning was incorporated to predict the amount of medals 25 countries would obtain in the 2020 Tokyo Olympics with Linear Regression.

GitHub - Visualizations and Machine Learning Presentaion - Visualizations and Machine Learning

Tools and Languages

Machine Learning libraries: Pandas, Matplotlib, Scipy, Scikit-learn, NumPy
JavaScript libraries: D3.js, Plotly.js, Leaflet.js, Chart.js
Python
Tableau
Bootstrap

Team

Aastha Arora

Dianne Jardinez

Swarna Guntaka

Key Takeaways

What went well

Creating the following Tableau visualizations for medal predictions

Challenges we overcame

Converting our data viewed from Flask-powered RESTful API to being viewed through GitHub Pages