EMAIL SPAM CLASSIFIER USING ML

• Tech Stack: NUMPY,PANDAS,PYTHON,MATPLOTLIB,JUPYTER
• Github URL: Project Link

The goal of this project is to build a machine learning model that can accurately classify messages as spam or not spam. The model is trained on the UCI SMS Spam Collection Dataset and uses the Multinomial Naive Bayes algorithm for classification. Key steps in the project: Data preprocessing (removing duplicates, handling missing values). Text vectorization using CountVectorizer. Model training and evaluation. Prediction of new messages.