SMS Spam Detection using Machine Learning

ML model for SMS spam classification using text processing and machine learning.

Models Used: • Random Forest: 96.11% accuracy • Logistic Regression: 96.21% accuracy

Features: • Count Vectorization for text preprocessing • SMOTE for handling imbalanced dataset • Real-time spam detection capability