https://github.com/urbslab/exstracs_ml_pipeline_binary_notebook
An rigorous, well documented machine learning analysis pipeline for binary classification datasets assembled as a Jupyter Notebook. Includes exploratory analysis, data processing, feature processing, ML modeling (9 algorithms, including the original ExSTraCS algorithm) with hyperparameter sweeps, visualizations, and statistical analysis. A comprehensive starting point to adapt to your own dataset an as an example of how to integrate a non-scikit-learn ML algorithm into a comparative pipeline.
https://github.com/urbslab/exstracs_ml_pipeline_binary_notebook
Last synced: 12 months ago
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An rigorous, well documented machine learning analysis pipeline for binary classification datasets assembled as a Jupyter Notebook. Includes exploratory analysis, data processing, feature processing, ML modeling (9 algorithms, including the original ExSTraCS algorithm) with hyperparameter sweeps, visualizations, and statistical analysis. A comprehensive starting point to adapt to your own dataset an as an example of how to integrate a non-scikit-learn ML algorithm into a comparative pipeline.
- Host: GitHub
- URL: https://github.com/urbslab/exstracs_ml_pipeline_binary_notebook
- Owner: UrbsLab
- License: gpl-3.0
- Created: 2020-05-21T14:49:53.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-09-01T17:30:09.000Z (almost 6 years ago)
- Last Synced: 2023-03-05T14:13:27.477Z (over 3 years ago)
- Language: Python
- Homepage:
- Size: 1.04 MB
- Stars: 9
- Watchers: 4
- Forks: 2
- Open Issues: 1