Use Classification Model Creation

Installation

1. Clone the repository:

  git clone https://github.com/your-username/python_dataset_generation_suggestion.git

2. Navigate to the project directory:

cd python_dataset_generation_suggestion

3. Install dependencies:

   pip install -r requirements.txt

4. Run in Jupyter notebook

jupyter notebook

Usage

1. Define your dataset schema:

   • Create a Python dictionary representing the structure of your dataset.
   • Specify the data types and generation methods for each attribute.

2. Configure data generation parameters:

   • Set the number of data points to generate.
   • Adjust generation strategies and parameters as needed.

3. Generate the dataset:

   • Run the script to create the synthetic dataset.

4. Save the dataset:

   • Export the generated data in your preferred format (e.g., CSV, JSON).

Example

Contributing

Contributions are welcome! Please feel free to open issues or submit pull requests.

License

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