Spam Email Detector
A classic ML pipeline trained on the SMS Spam Collection: text cleaning with NLTK, TF-IDF vectorisation and a Multinomial Naive Bayes classifier. Includes metrics and model export.
Projects
A classic ML pipeline trained on the SMS Spam Collection: text cleaning with NLTK, TF-IDF vectorisation and a Multinomial Naive Bayes classifier. Includes metrics and model export.
Load → clean (lowercase, punctuation/number removal, stopwords) → TF-IDF (bi-grams) →
train (Multinomial NB) → evaluate → save model & vectoriser to /models.