ml-project-setup 0.1

A standardized machine learning project structure

🚀 ml_project_setup A simple package for setting up a structured Machine Learning project.

📖 Overview ml_project_setup helps you quickly set up a standardized Machine Learning project structure with best practices.

📂 Project Structure Created After running mlsetup my_project, the following structure is created:

arduino Copy Edit my_project/ │── source/ │ ├── components/ │ ├── constants/ │ ├── entity/ │ ├── pipeline/ │ ├── utility/ │ ├── exception/ │ ├── logger/ │── .gitignore │── README.md │── requirements.txt │── main.py │── setup.py 🛠 Installation You can install the package using:

pip install ml_project_setup

🚀 Usage To create a new Machine Learning project, run:

mlsetup my_project

This will generate a structured ML project named my_project in the current directory.

📦 Dependencies This package requires:

numpy pandas scikit-learn You can install dependencies using:

pip install -r requirements.txt

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

👤 Author Developed by Amogh For any issues or suggestions, contact: 📧 [e-mail]