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Depression classification through machine learning models

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IanFang/depression_ml

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Machine learning based classification of depression

Repository of codes for the machine learning based based classification of depression

Usage

Use Jupyter notebooks (.ipynb files) to load data, transform data, and explore models.

Use scripts in grid_search directory to batch run combinations of data, and model configurations.

Prerequisites

  • Python 3.6+
  • Scikit learn
  • Jupyter notebook
  • Numpy
  • Pandas
  • Scipy
  • Matplotlib
  • Seaborn
  • XGBoost
  • mlxtend

List of directories

  • data

Data and results.

  • grid_search

Script to perform batch grid search. Script to parse results.

Contributors

  • Xingang (Ian) Fang, Ph.D., Florida State University
  • Alex Alexander De Sabatino, Florida State University

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Depression classification through machine learning models

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