This project focuses on building a Spam Email Classifier using Machine Learning techniques.The project entails steps such as data preprocessing, feature extraction, model training, and model evaluation.The classifier is trained using logistic regression and TF-IDF for feature extraction.The results show high accuracy in classifying emails as spam or ham.