# Structure Data Science Projects 

A few months back, I faced the challenge of structuring and maintaining consistency in my data science projects. After extensive research, I discovered the best practices for organizing project folders to enhance productivity and collaboration. Below is a Python script that automatically sets up a well-structured folder hierarchy tailored to different types of data science projects: machine learning (ML), data engineering (DE), and business intelligence (BI). This script not only saves time but also ensures that your projects remain organized and manageable.  

## Python Script  To use the script below, go to your `C:\\Users\\{Your Username}` (in my case, it was Admin, but you can change it inside the code) and create a `new_project.py` file. Add the code below inside this file.

## Usage Samples  

### Creating Machine Learning Project  ![Creating Machine Learning project](<https://example.com/path-to-your-image/structure-1.png>)   

### Folder Image: 1 

 ![Folder image: 1](<https://example.com/path-to-your-image/structure-2.png>) 

Structure Data Science Projects

Python Script To use the script below, go to your C:\\Users\\{Your Username} (in my case, it was Admin, but you can change it inside the code) and create a new_project.py file. Add the code below inside this file.

Usage Samples

Creating Machine Learning Project

Folder Image: 1

Python Script To use the script below, go to your `C:\\Users\\{Your Username}` (in my case, it was Admin, but you can change it inside the code) and create a `new_project.py` file. Add the code below inside this file.