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Email Classification using NLP

This repository demonstrates email spam classification using Natural Language Processing (NLP). It employs CountVectorizer, Multinomial Naive Bayes, and a Pipeline for efficient workflows.

Features

  • Preprocess email text with CountVectorizer.
  • Train and evaluate a Multinomial Naive Bayes model.
  • Use a Pipeline for streamlined operations.
  • Evaluate the model using precision, recall, and F1-score.

Requirements

The following Python libraries are required to run the notebook:

  • pandas
  • numpy
  • scikit-learn

Clone the repository:

git clone https://github.com/umair801/Spam_Email_Classifier.git