README.md

Spam / Not Spam Classifier

A simple machine learning model built using Logistic Regression + TF-IDF to detect spam messages.

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How it works

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

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Files included

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

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Example Usage

from inference import predict
print(predict("You have won $1000!!!"))