Email Spam Detection

A machine learning project built in Python using Google Colab to classify emails as Spam or Not Spam.

Project Overview

This notebook trains a machine learning model to detect spam emails using text preprocessing and classification techniques.

The project includes:

• Data preprocessing
• Text vectorization
• Model training
• Prediction system
• Accuracy evaluation

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Technologies Used

• Python
• Google Colab
• Pandas
• NumPy
• Scikit-learn

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Machine Learning Workflow

1. Load dataset
2. Clean and preprocess text
3. Convert text into numerical vectors
4. Train classification model
5. Evaluate model accuracy
6. Predict whether an email is spam or not

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Files

Email_spam_or_not.ipynb
README.md
mail_dara.csv