EEG Data Analysis and Classification

Overview

Welcome to my EEG Data Analysis and Classification project. This repository is my personal exploration of EEG data, where I analyze and classify brainwave patterns.

Technologies Used

• Python for data analysis and machine learning.
• Jupyter notebooks for interactive data exploration.
• Libraries like NumPy, SciPy, and scikit-learn for data manipulation and classification.
• EEG data for understanding brainwave patterns.

Getting Started

1. Clone this repository to your local machine.
2. Install the required dependencies by running pip install -r requirements.txt.
3. Explore the Jupyter notebooks in the notebooks directory for insights and examples.
4. Feel free to modify the code to suit your own EEG data experiments.

Contributing

I welcome contributions! If you discover any issues or have suggestions for improvements, please create a GitHub issue or submit a pull request.

License

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