Spam Classifier 📧🤖
A simple machine learning model to classify messages as Spam or Not Spam using Naïve Bayes and Bag of Words (CountVectorizer).
🚀 Features
- Detects whether a message/email is spam or not.
- Uses Multinomial Naïve Bayes, a classic text classification algorithm.
- End-to-end pipeline with CountVectorizer + Classifier.
- Easy to train, test, and extend with real datasets.
⚙️ Installation
- Clone the repository
-
- Create a virtual environment (recommended)
- Install dependencies
📊 Example Dataset
The project works on any text dataset with two columns:
Message: The text of the message/emailspam: Label (1 = Spam, 0 = Not Spam)
Example:
| Message | spam |
|---|
| Win money now!!! | 1 |
| Hey, are we still meeting tomorrow? | 0 |
| Urgent: Your account has been compromised | 1 |
| Let's catch up over lunch | 0 |
