Vous trouverrez ici un boilerplate (template) pour le sujet Sécurité proposé par la Gendarmerie National lors du Hackathon IA organisé à l'Isep de 13 au 15 mai 2022.
+ Les données fournies par le sponsor du sujet se trouvent dans data/raw.Comment utiliser ce template ?
# Git
git clone https://github.com/Garage-ISEP/hackathon-ia-securite
# GitHub CLI
gh repo create votre-repo -p Garage-ISEP/hackathon-ia-securite
gh repo clone votre-repo├── README.md <- The top-level README for developers using this project.
├── data
│ ├── external <- Data from third party sources.
│ ├── interim <- Intermediate data that has been transformed.
│ ├── 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 initials, and a short `-` delimited description, e.g.
│ `1.0-jqp-initial-data-exploration`
│
├── src <- Source code for use in this project.
│ ├── __init__.py <- Makes src a Python module
│ │
│ ├── data <- Scripts to download or generate data
│ │
│ ├── features <- Scripts to turn raw data into features for modeling
│ │
│ ├── 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