Data Mining Lab

Welcome to the Data Mining Lab repository. This project contains resources, code, and documentation related to data mining experiments and assignments.

Table of Contents

• Introduction
• Prerequisites
• Installation
• Usage
• Contributing
• License

Introduction

This repository is designed to help students and professionals explore various data mining techniques and algorithms. It includes practical examples, datasets, and tools to enhance learning.

Prerequisites

• Python 3.x
• Libraries: numpy, pandas, matplotlib, scikit-learn

Installation

1. Clone the repository:

   git clone https://github.com/your-username/data-mining-lab.git

2. Navigate to the project directory:

   cd data-mining-lab

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the scripts in the src folder to execute specific data mining tasks.
2. Use the datasets folder for sample data to test algorithms.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Create a new branch:

   git checkout -b feature-name

3. Commit your changes and push the branch:

   git push origin feature-name

4. Open a pull request.

License

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