Open Sourcing Mental Illness is a non-profit, 501(c)(3) corporation dedicated to raising awareness, educating, and providing resources to support mental wellness in the tech and open source communities. EIN: 81-3587896.

Link to participate in the 2020 survey: OSMI Survey 2020

OSMI does research on the how mental health is viewed across the tech community. For more information on this, please visit OSMIhelp.org

For the purpose of this project, all the currently available datasets have been used. The datasets currently available are from the years 2014, 2016, 2017, 2018 and 2019. The datasets need to be cleaned and combined to carry out any further analysis.

The project was made on the Anaconda Data Science Platform.
Please see installation instructions to learn how to install and configure Anaconda for your system.

The project files are provided in two formats:

• .ipynb -> for use with Jupyter Notebooks.
• .py -> for analysis in softwares like Spyder IDE.

The Jupyter Notebook DataCleanup deals with the process of cleaning and combining the datasets.

The Jupyter Notebook DataAnalysis deals with the process of analysing the dataset features and studying data trends.

The Jupyter Notebook SupervisedLearning shows some supervised machine learning models trained on the cleaned dataset.

The project is built on python3.