A beginner-friendly machine learning project that classifies text messages as spam or not spam using a Naive Bayes classifier.

• 99.2% accuracy on test data
• Trained on the SMS Spam Collection Dataset
• Used CountVectorizer to convert text to numeric features
• Trained using Multinomial Naive Bayes (a classic for spam detection)
• Evaluated with precision, recall, F1-score, and confusion matrix

• Python 3.x
• Pandas
• Scikit-learn
• Matplotlib
• Seaborn

1. Clone the repo

   git clone https://github.com/ogetynarendra/spam-classifier.git
   cd spam-classifier