This repo is a Starting Pack for DS projects. You can rearrange the structure to make it fits your project.
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── data <- Should be in your computer but not on Github (only in .gitignore)
│ ├── processed <- The final, canonical data sets for modeling.
│ └── raw <- The original, immutable data dump.
│
├── models <- Trained and serialized models, model predictions, or model summaries
│
├── notebooks <- Jupyter notebooks. Naming convention is a number (for ordering),
│ the creator's name, and a short `-` delimited description, e.g.
│ `1.0-alban-data-exploration`.
│
├── references <- Data dictionaries, manuals, links, and all other explanatory materials.
│
├── reports <- The reports that you'll make during this project as PDF
│ └── figures <- Generated graphics and figures to be used in reporting
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, e.g.
│ generated with `pip freeze > requirements.txt`
│
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── features <- Scripts to turn raw data into features for modeling
│ │ └── build_features.py
│ │
│ ├── models <- Scripts to train models and then use trained models to make
│ │ │ predictions
│ │ ├── predict_model.py
│ │ └── train_model.py
│ │
│ ├── visualization <- Scripts to create exploratory and results oriented visualizations
│ │ └── visualize.py
Project based on the cookiecutter data science project template. #cookiecutterdatascience