ML Pipeline Template

This repository provides a Python script to set up a standard directory structure for machine learning projects. It helps you organize files and directories into a structured format that is ideal for developing, testing, and deploying ML models.

Files

• script.py: A Python script to create a structured directory for an ML pipeline project.
• Image.png: An image showing the directory structure created by the script.

Features

• Automatic Directory Creation: Creates essential directories for data, notebooks, source code, configuration, and more.
• Placeholder Files: Generates placeholder files with sample content to help you get started quickly.

Usage

1. Clone the Repository:

   git clone https://github.com/madhanl6/ML-Template.git
   cd ML-Template

2. Edit the Script:

   • Open script and modify the main() function to set your desired base directory and project name.

3. Run the Script:

   • Make sure Python is installed. Run the script with:

   python script.py

Customization

The file script.py can be further modified to fit specific needs. For example, we might want to add more directories, change the placeholder content, or adjust the default structure according to the project requirements.

Contributing

Contributions are welcome! If anyone have suggestions for improvements or additional features, please open an issue or submit a pull request.