Support Vector Machine Classifier

This project implements a Support Vector Machine (SVM) classifier using Scikit-learn. The goal is to train and evaluate a model on a classification dataset.

Features

• Train/test split
• SVM model with configurable kernel
• Confusion matrix and classification report
• Heatmap visualization

Requirements

Install dependencies:

pip install -r requirements.txt

Usage

Update the dataset filename and target column in svm_classifier.py, then run:

python svm_classifier.py

License

MIT

Contact

Email:

• Marouf Haider - haider.marouf@nhsm.edu.dz / ensmmarouf@gmail.com
• Chaya Aimen – aimen.chaya@nhsm.edu.dz

Linkedin: www.linkedin.com/in/haider-marouf-1149b1316