Start by copying this template repository into your GitHub account. Replace "template" with your name or alias, e.g. applied-ml-case.
We will use this repo for several lab projects.
Read and follow the standard set up and work flow provided at Professional Analytics: Project Setup / Initialization / Standard Workflow
- .venv - this folder will appear when you create your virtual environment
- .vscode - this folder has some settings that help VS Code & Pylance find packages
- .gitignore - keep .venv and other stuff out of source control
- README.md - introduction to this repository
- requirements.txt - list of external packages used (read this)
Starter files for the example labs
- example01 folder
- example02 folder
Each lab project will be completed in its own folder.
- lab01 folder:
- ml01.ipynb - COMPLETE THIS
- ml01.py - working script with just the code
- README.md - instructions - modify this to present your lab project