Machine Learning in Action
🛡️ Email Spam Detection
📧
1. Data Collection
SPAM
Subject: URGENT! Claim your $1000 prize NOW!
Congratulations! You've won $1000! Click here immediately to claim your prize before it expires! Free money waiting!!!
LEGITIMATE
Subject: Meeting agenda for tomorrow
Hi team, attached is the agenda for tomorrow's quarterly review meeting. Please review the documents beforehand.
SPAM
Subject: Weight loss miracle! Doctors hate this trick!
Lose 30 pounds in 30 days! No exercise needed! This one weird trick will shock you!
LEGITIMATE
Subject: Your bank statement is ready
Your monthly statement for account ending in 1234 is now available in your online banking portal.
🧠
2. Training Process
Features the Algorithm Learns
Urgent language ("NOW!", "URGENT!")
Money-related words ("$", "prize", "free")
Excessive punctuation ("!!!")
Suspicious sender addresses
All caps text
Generic greetings
Misspelled words
Call-to-action phrases
Learning Patterns
📊
Feature
Extraction
→
⚖️
Weight
Assignment
→
🎯
Pattern
Recognition
🔮
3. Prediction
New Email Arrives
Subject: Limited time offer! Act fast!
Amazing deals on luxury watches! 90% off today only! Don't miss out on this incredible opportunity! Click now before it's too late!!!
Algorithm Analysis
Detected: Urgent language, promotional content, excessive punctuation, sales pressure
85% Confidence: SPAM
→ Moved to Spam Folder
✅ Result: Successful Classification
The model successfully identified spam characteristics and protected the user from unwanted content.