Using the Na$$ve Bayes spam filter from lecture $2$ as inspiration, build a spam filter tool that takes as input an email or SMS text body as a text file and outputs if the file is spam or ham. Make a $5$ minute or less video that demonstrates the requested capability. Also, in your video, highlight the design features mentioned below. Turn in your video $($embedded via PanoptoLinks to an external site. or a link to a Zoom recording$)$ as well as your code as a python file or Juypter notebook along with a readme file describing how to run your code $($the video should also illustrate this point$).10\%$ of your grade will come from the ability of your tool to classify $2$ unseen spam and ham test files.

Design Features

To do this, use the dataset I supplied and the ML analytic development process to develop a spam filter that dynamically recognizes its own suspect key words. Then export this model and write code that uses this exported model to perform the above$-$mentioned spam filtering.

Dataset

SMSSpamCollection