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How to Build a Spam Email Classifier Using Python and Machine Learning

  • 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.

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