ss26 / ece381k-applied-ml-project

ECE 381K Applied Machine Learning Course Project @ UT Austin

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Detecting Sleep States

Data

Source: https://www.kaggle.com/competitions/child-mind-institute-detect-sleep-states/data

Usage

  1. Install rust
    curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
    
    Press 1 for the default installation to proceed
  2. Install all required packages for the project by running a single command
    poetry install
    
    This creates a virtual environment for the project to isolate the installed packages from the rest of your system's installed packages.

Acknowledgements

The contributors would like to thank the authors of the notebook: https://www.kaggle.com/code/lccburk/feature-engineering-and-random-forest-prediction, which they used for performing the EDA and the random forest predictions.

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ECE 381K Applied Machine Learning Course Project @ UT Austin


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Language:Jupyter Notebook 96.6%Language:Python 3.4%