/EEG-Motor-Movement

EEG Data Analysis and Classification, offering EDA, data preprocessing, and neural network model building for brainwave data.

Primary LanguageJupyter Notebook

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.