Link to github repo

Open source dataset containing 5773 text messages of spam and ham was used to develop this project.

• Data preparation was done thoroughly using CountVectorizer.
• Used MultiNomial Gaussian Naive Bayes algorithm to develop this project.
• Model accuracy is 98%