Template data science project

Project name

For example, MOOI - Energy Control Businesspark

About the project

Briefly introduce the project. If available, provide related links to the project, e.g., a webpage

Team

Internal project manager(s):

Researcher(s):

Repository directory structure

A basic repository structure has been created by default, but you are free to define your own DS structure.

The repository structure is the following.

GitHub-Repository
│   README.md
│
└───data - Folder containing your (versioned)
    │
    └───raw
    └───processed
│
└───notebooks - Folder containing your data exploration and model training notebooks 
│
└───scripts - Generic scripts folder
│
└───output - Output folder containing persisted model weights and results such as plots, literature reviews
│
└───api - Folder containing an api script for your model
│
│   requirements.txt or requirements.in (if using pip-tools)
│
│   dockerfile

Setting up an DS environment

Click here for instructions using miniconda. Note that when using miniconda, we utilise conda as a virtual environment manager alone. That is, we do not use conda as a package manager. For that, we will use pip.