Metadata-Version: 2.2
Name: ml_project_setup
Version: 0.1
Summary: A standardized machine learning project structure
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
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

🚀 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
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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: 📧 amogh9792@gmail.com
