SVM Demo

This project demonstrates the use of Support Vector Machines (SVM) with the Iris dataset, including k-fold cross-validation.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Directory Structure
• Contributing
• License

Introduction

This repository provides a simple demonstration of applying SVM on the Iris dataset with k-fold cross-validation to validate the model's performance.

Features

• Implementation of SVM on Iris dataset
• k-fold cross-validation to ensure model robustness

Installation

1. Clone the repository:

   git clone https://github.com/sarojshakya01/svm-demo.git
   cd svm-demo

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Open the Jupyter Notebook:

   jupyter notebook svm.ipynb

2. Run the notebook cells to execute the SVM demo with k-fold cross-validation.

Directory Structure

• svm.ipynb: Jupyter Notebook containing the SVM implementation and k-fold cross-validation on the Iris dataset.

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes.

License

This project is licensed under the MIT License. See the LICENSE file for more details.