This is my template for initiating a data science project. The project structure consists of the following:
- docs: A folder for storing all domain knowledge, brainstorming, user stories, and information about the architecture of the project.
- data: broken into raw and interim folders, this folder will contain all raw data and intermediate data that must be stored to execute the project
- script: Where all functions broken into the various steps in a data science pipeline written as functions to be executed by one main file.
- output: Where all binary files will be stored for descriptive, exploratory, and reporting purposes.
This project structure is built with the intention of transition a project from research to product.