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