Sara12-2/Spam_SMS_Detection
This project builds an NLP-based machine learning model to classify SMS messages as Spam or Ham using TF-IDF vectorization and classification algorithms . It includes full text preprocessing, model training, evaluation, and performance comparison to detect unwanted messages with high accuracy.
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