Welcome to the No-Code ML project repository! This project aims to provide a simplified way to apply machine learning techniques without the need for extensive coding. With this project, you can quickly experiment with machine learning models and explore their capabilities.
To use this project, follow the steps below:
- Clone the repository to your local machine using the following command:
git clone https://github.com/vishalxtyagi/no-code-ml
- Navigate to the cloned repository directory:
cd no-code-ml
- Create a Python virtual environment named 'venv':
py -m venv venv
- Activate the virtual environment:
venv\Scripts\activate
- Install the required dependencies from the 'requirements.txt' file:
pip install -r requirements.txt
After completing the installation steps, you can run the main script using the following command:
python main.py
This will launch the No-Code ML application, where you can interactively experiment with machine learning models.
We welcome contributions to improve the No-Code ML project. If you would like to contribute, please follow these guidelines:
- Fork the repository and create your branch:
git checkout -b my-feature
-
Implement your changes and ensure they are well-documented.
-
Commit your changes with a descriptive commit message:
git commit -m "Add my feature"
- Push your changes to your forked repository:
git push origin my-feature
- Open a pull request, describing your changes and their purpose.
This project is licensed under the MIT License. See the LICENSE file for more information.
If you have any questions or suggestions regarding this project, feel free to reach out to the project maintainer at [email protected].