Overview
Spam classification models are essential tools in managing digital communication, helping to filter out unwanted messages and protect users from scams. By leveraging machine learning techniques, these models analyze patterns in email data to distinguish between spam and legitimate content. Understan...
Key Terms
Example: Promotional emails that you did not sign up for.
Example: Using past email data to predict if a new email is spam.
Example: Converting email text into numerical vectors.
Example: Classifying emails as spam or not based on word frequency.
Example: Separating spam and non-spam emails using hyperplanes.
Example: Identifying key terms in spam emails.
Related Topics
Key Concepts
Machine LearningNatural Language ProcessingFeature ExtractionClassification Algorithms