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
```