Spam detection is the process of identifying unwanted or harmful messages, often sent in bulk, that clutter our email inboxes. These messages, known as spam, can include advertisements, scams, or phishing attempts that aim to deceive users. By using various techniques, such as analyzing the content and sender's reputation, spam filters help keep our online communication safe and organized. To effectively combat spam, many email services employ machine learning algorithms that learn from user behavior and feedback. These algorithms continuously improve their ability to distinguish between legitimate messages and spam, ensuring that important emails are not lost in the clutter.