SCS 3251 Statistics for Data Science Project
Jupyter Notebooks:
Team members:
| Name | Github Repo |
|---|---|
| Arjie Cristobal | https://github.com/quickheaven |
The "spam" concept is diverse: advertisements for products/web sites, make money fast schemes, chain letters, pornography...
Our collection of spam e-mails came from our postmaster and individuals who had filed spam. Our collection of non-spam e-mails came from filed work and personal e-mails, and hence the word 'george' and the area code '650' are indicators of non-spam. These are useful when constructing a personalized spam filter. One would either have to blind such non-spam indicators or get a very wide collection of non-spam to generate a general purpose spam filter.
- Hopkins,Mark, Reeber,Erik, Forman,George, and Suermondt,Jaap. (1999). Spambase. UCI Machine Learning Repository. https://doi.org/10.24432/C53G6X.
Link: Spambase
