GitHub / 04bhavyaa / sms-spam-classification-system
A Machine Learning project that identifies whether a given message is spam or not. It uses Natural Language Processing (NLP) techniques (Stemming and TF-IDF Vectorization) for text transformation and a trained Multinomial Naive Bayes Classifier for predictions.
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Language: Jupyter Notebook
Size: 1.89 MB
Dependencies parsed at: Pending
Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 3 months ago
Topics: bernoulli-naive-bayes, nlp-machine-learning, nltk-library, spam-classification, stemming, streamlit, tfidf-vectorizer