ml-project-setup 0.2

A standardized machine learning project structure

Here is the correctly formatted README.md file:

# 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:

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:
```sh
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]

🔹 **Save this as `README.md` in your project directory** and then rebuild your package before uploading again. 🚀 Let me know if you need help! 😊