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- CHAMPI
- ==============================
-
- ## 🍄 Reconnaissance de champignons 🍄
-
- **Projet de groupe 2024 DataScientest**
-
- * [Heuzef](https://heuzef.com)
-
- * [Yvan Rolland](https://github.com/YvanRLD)
-
- * [Viktoriia Saveleva](https://github.com/SavelevaV)
-
- * [Florent Constant](https://github.com/FConstantMovework)
-
- Organisation du projet
- ------------
-
- ```
- ├── LICENSE
- ├── README.md
- ├── data <- (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 <- Project reports as PDF
- │ └── figures <- Generated graphics and figures 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
- ```
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