NLP Email Spam Detection Using Machine Learning

Developed an NLP-based email classification system to detect whether a message is Spam or Ham.

The project includes text preprocessing, feature extraction, and training multiple machine learning classification models, including Logistic Regression, Naive Bayes, Support Vector Machine (SVM), Decision Tree, and Random Forest.

The models were evaluated and compared to identify their performance in classifying emails accurately.