https://github.com/incubated-geek-cc/mental-healthcare-predictors

Analysis and Machine Learning Regression Model to Predict Likelihood of Seeking Mental Healthcare Treatment
https://github.com/incubated-geek-cc/mental-healthcare-predictors

jupyter-notebook machine-learning python

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Analysis and Machine Learning Regression Model to Predict Likelihood of Seeking Mental Healthcare Treatment

• Host: GitHub
• URL: https://github.com/incubated-geek-cc/mental-healthcare-predictors
• Owner: incubated-geek-cc
• Created: 2021-01-16T05:03:34.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-10-28T10:17:35.000Z (about 1 year ago)
• Last Synced: 2023-10-28T11:22:43.979Z (about 1 year ago)
• Topics: jupyter-notebook, machine-learning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 17.9 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Mental Healthcare Predictors

#### What this is - A demonstration/tutorial on how to carry out each step of the following Machine Learning Life Cycle (note: there are many modelling life cycles so this is my own illustration peculiar to this use-case (stated down below))

![ml_life_cycle](https://github.com/incubated-geek-cc/mental-healthcare-predictors/blob/main/ml_life_cycle.png)

#### Choice of dataset is: [OSMI Mental Health in Tech Survey](https://osmihelp.org/research)

* Comprises of collated survey responses between **years 2018 to 2020**

* **Survey rationale**: Measuring attitudes towards mental health in the workplace and examine the frequency of mental health disorders among workers. Actual links can be found on the jupyper notebook.

#### Specific steps are documented in the following [notebook](https://github.com/incubated-geek-cc/mental-healthcare-predictors/blob/main/Predict%20Likelihood%20of%20Seeking%20Mental%20Healthcare%20Treatment.ipynb)

#### Pre-requisites to run jupyter notebook locally

* **Running:** Python 3.7.9

* **Using:** pip 20.3.3

* **OS:** Windows 10

#### Functionality of each `.bat` file

Filename | Functionality

------------ | -------------

activate_env.bat | activate virtual environment .env and upgrade pip on Windows OS

pip_freeze.bat | output all python packages into requirements.txt file and overwrites it

pip_install_requirements.bat | pip install all python packages based on requirements.txt file

run_jupyter_notebook.bat | run jupyter notebook on port 8889

upgrade_pip.bat | upgrade current pip version to latest available

* **Step 0a.** Create virtual environment by running: `virtualenv .env` 

* **Step 0b.** Double-click the `pip_install_requirements.bat` to install all required python packages stated in the `requirements.txt` file into the virtual environment created