Generated a machine learning model to detect whether email is spam or not.

Note for setting up

• open SpamEmailML.ipynb on jupyter/machine learning studios
• make sure spambase.csv is in same folder (data file)
• cell - run all to create and run model

Project inspiration/goal

• develop a machine learning model that can detect spam emails
• spam emails are quite prevalent, and having this technology would save a persons time

Classification model used

• gaussian naive bayes since it is generally used for this problem, and deals with continuous features well

Other

• this model is specific to the context of the data set provided (business context in usa), and is not in any way a general spam email filter that can be commercially used.
• data at - https://archive.ics.uci.edu/ml/datasets/Spambase
• it provides a method that can be used to create a more general spam filter, but requires much more example emails/data