There are 4 repositories under email-spam-detection topic.
Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.
One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.
In this repository, I have done simple python projects for understanding the python environment.
We receive emails that are not advantageous to us and can be misleading and dangerous; We have no idea what damage is lurking behind them. This project assists us in avoiding potentially hazardous emails by screening them.
This is my portfolio website
Detect Email/SMS Spam with Machine Learning!