Provide recommendations on whether to go for lung cancer screening based on evidence provided to a bayesian network.
| .gitignore | ||
| cleanup.sh | ||
| main.py | ||
| README.md | ||
| requirements.txt | ||
| resampled-lung-cancer.csv | ||
| run.sh | ||
| survey-lung-cancer.csv | ||
CSC4025Z Artificial Intelligence Assignment 1: Bayesian Networks
Provide recommendations on whether to go for lung cancer screening based on evidence provided to a bayesian network.
Requirements
- jupyter
- ipykernel
- pyagrum
- pandas
- jupytext
Note: Please ensure bash shell is used. All above listed requirements will be automatically installed when using ./run.sh.
Usage
- Run
./run.sh. This will build thevenvfor you and openjupyter notebook. - Execute code blocks from the generated
main.ipynbin a web-browser.
Run ./cleanup.sh when complete.
Authors and acknowledgment
- Unays Bhad (BHDUNA001)
- Channing Bellamy (BLLCHA013)
- Raaziq Parkar (PRKRAA002)