Spam / Not Spam Classifier

How it works

• Input: Raw text message
• Preprocessing: TF-IDF Vectorizer
• Model: Logistic Regression
• Output: spam or ham

Files included

• model.pkl — trained ML model
• vectorizer.pkl — TF-IDF vectorizer
• inference.py — simple inference script

Example Usage