SpamZero - Email Spam Detection using Support Vector Machines

Project Overview

This project focuses on building a machine learning model to classify emails as spam or not spam using a Support Vector Machine (SVM) classifier. The dataset contains features extracted from email text content, and the model is trained to effectively distinguish between spam and legitimate emails.

Project Structure

├── Email Spam Detection - Vector machines.ipynb
├── README.md
├── data/
│   └── spam_dataset.csv (or relevant dataset)
├── models/
│   └── svm_model.pkl

Technologies Used

• Python

• Jupyter Notebook

• Scikit-learn

• NumPy

• Pandas

• Matplotlib / Seaborn (for visualization)

Dataset

• The dataset includes features derived from email contents such as:

• Frequency of specific keywords

• Capital letter usage

• Special character frequency

• Each email is labeled as:

  • 1 → Spam

  • 0 → Not Spam

How to Run

• Clone the Repository

git clone https://github.com/RAVINDRAN-S/Email_Spam_Detection_using_vector_machines
cd email-spam-detection-svm

• Install Dependencies

pip install -r requirements.txt
Run the Notebook

• Open Email Spam Detection - Vector machines.ipynb in Jupyter Notebook and run all cells.

---

Model Summary

• Algorithm: Support Vector Machine (SVM)

• Kernel Used: Linear

• Evaluation Metrics:

• Accuracy : 99%

• Precision : 0.99

• Recall : 1.00

• F1-Score : 1.00

Results

• The SVM model achieved high accuracy in detecting spam emails.

• Confusion matrix and classification report are used to interpret model performance.

Key Learnings

• How to preprocess and clean text data for ML tasks.

• Implementing SVM for binary classification.

• Evaluating model using various performance metrics.

• Visualizing results for better interpretation.

---

Future Improvements

• Use more advanced NLP techniques (e.g., TF-IDF, Word2Vec).

• Test with other classifiers (e.g., Naive Bayes, Random Forest).

• Build a web interface for real-time email classification.

---

Author - Ravindran S

Developer • ML Enthusiast • Neovim Customizer • Linux Power User

Hi! I'm Ravindran S, an engineering student passionate about:

• Linux & System Engineering
• AIML (Artificial Intelligence & Machine Learning)
• Full-stack Web Development
• Hackathon-grade project development

🔗 Connect With Me

You can reach me here:

Socials

Contact