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forecasts

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A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

  • Updated Jan 10, 2024
  • Jupyter Notebook

This project is to measure the popularity of each league using the search data collected from Google Trends, which give real-time historical data on search words. With this project, it is also possible to compare and forecast how the sports league are trending with respect to each other using three models — trend plus seasonality regression, Hol…

  • Updated Sep 17, 2021
  • Jupyter Notebook

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