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))
Choice of dataset is: OSMI Mental Health in Tech Survey
- 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
- Running: Python 3.7.9
- Using: pip 20.3.3
- OS: Windows 10
| 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.batto install all required python packages stated in therequirements.txtfile into the virtual environment created