Metadata-Version: 2.2
Name: ml-project-setup
Version: 0.3
Summary: A package to auto-generate structured ML project folders
Author: Amogh Pathak
Author-email: amogh9792@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: pyyaml
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

Here is the correctly formatted `README.md` file:

```md
# 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:
```sh
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:
```sh
pip install -r requirements.txt
```

## 📝 License  
This project is licensed under the **MIT License**. See the [LICENSE](LICENSE) file for details.

## 👤 Author  
Developed by **Amogh**  
For any issues or suggestions, contact: 📧 *amogh9792@gmail.com*
```

