Designed and developed an NLP system for SMS spam/ham prediction, leveraging machine learning algorithms such as multinomial naive Bayes, logistic regression, and SVM. Applied advanced data cleaning techniques, including PorterStemmer, CountVectorizer, and TFIDF Vectorizer, and integrated Word Embeddings to achieve a 97.84% accuracy rate.
License: MIT License
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