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feature-ranking

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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 focused on evaluating the impact of various features on a labeled dataset to establish a ranking based on their influence on the output labels. The project utilizes both supervised and unsupervised learning techniques to analyze and rank features according to their importance and impact on classification results.

  • Updated Jun 3, 2024
  • Jupyter Notebook

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