An exploration of machine learning and deep learning models on SMS spam detection using Word2Vec, GloVe, and TF-IDF for text representation. Models from Decision Trees to Neural Networks are evaluated on the "SMSSpamCollection" dataset to benchmark classification performance, advancing insights in Natural Language Processing.