Cookiecutter-data-science -A Python tool to structure your projects

1. 1Install Cookiecutter-data-science using pip by running 'pip install cookiecutter' and then 'cookiecutter https://github.com/drivendata/cookiecutter-data-science.git'
2. 2Create a new project using 'cookiecutter https://github.com/drivendata/cookiecutter-data-science.git' and follow the prompts to set up your project structure
3. 3Explore the generated project directory and understand the different folders and files created
4. 4Use the project structure to organize your data, code, and results
5. 5Customize the project structure as needed to fit your specific project requirements

Data scientists and analysts can benefit from using Cookiecutter-data-science to standardize their project structure, making it easier for team members to collaborate and understand each other's work

💡 Cookiecutter-data-science provides a standardized project structure for data science projects, making it easier to collaborate and manage complex projects

🍪💻 Structure your data science projects with Cookiecutter-data-science! 📈