This project classifies messages as spam or ham using a Naive Bayes machine learning model. It uses the SMS Spam Collection Dataset and applies text preprocessing (removing punctuation, stopwords) and CountVectorizer for feature extraction.
Technologies:
Python
Scikit-learn
NLTK
company :Codec Technologies India • Designation : Artificial Intelligence Intern • Location : Hybrid / India • Duration : 01/04/2025 to 01/05/2025
OUTPUT:
