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Twiter ML depression study
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Twiter ML depression study

Project ID: 316
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ML study performed to develop models that predict depressive and non-depressive users in Twitter. Original study providing the data: https://www.jmir.org/2019/6/e14199/

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datasets Loading commit data...
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01 - DescriptiveAnalysis.ipynb Loading commit data...
02 - Generate datasets.ipynb Loading commit data...
03 - Feature analysis original dataset.ipynb Loading commit data...
04 - Feature analysis derivated datasets.ipynb Loading commit data...
05 - ML Models - no sampling and without hyperparam.ipynb Loading commit data...
06 - ML Models - sampling after split.ipynb Loading commit data...
07 - ML Models - sampling before split.ipynb Loading commit data...
08 - Analyzing and plotting models results.ipynb Loading commit data...
09 - Exploring best models.ipynb Loading commit data...
10 - Models with chosen variables - generate, analyze and explore.ipynb Loading commit data...
README.md Loading commit data...