Overview
This project focuses on spam/ham classification using Multinomial Naive Bayes and Support Vector Machine (SVM) implemented with Scikit-Learn. The classifiers were trained on a labeled dataset to distinguish between spam and legitimate messages. The project leverages the Scikit-Learn to implement robust and effective spam filtering.