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Used Linear Regression, ARIMA, and Logistic Regression to display the next Tokyo Olympics predictions in medal count and in the type of Olympic medallist in each sport

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Machine Learning Project: Olympics 1896 - 2020

Team : Aastha Arora, Dianne Jardinez, Duong Luu, Ritika Bhansali, and Swarna Guntaka

Presentation (Google slides)

Data Source : Kaggle Olympics Dataset

Machine Learning Models :

  • Linear Regression
  • ARIMA
  • Logistic Regression

Project scope :

  • Predicting Gold, Silver, Bronze and Total Medals for USA for Tokyo 2020 Olympics
  • Predicting Gold, Silver, Bronze and Total Medals for Top 25 Countries for Tokyo 2020 Olympics
  • Predicting Olympic Medalists in all Olympic Sports in 2020

GitHub Page for static information

Olympics Project Website

To Run through Flask: Go to readme_database_connection.md in Flask API directory inside database directory

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Used Linear Regression, ARIMA, and Logistic Regression to display the next Tokyo Olympics predictions in medal count and in the type of Olympic medallist in each sport

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