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......@@ -22,10 +22,10 @@ pip install pandas numpy scikit-learn matplotlib seaborn
## File Description
- `binary_classification_workflow.py`: Contains all functions for data preprocessing, model training, validation, and result display.
- `draft_kidney.ipynb`: Jupyter Notebook demonstrating the application of the workflow to the datasets.
- `main.ipynb`: Jupyter Notebook demonstrating the application of the workflow to the datasets.
## Usage
1. Clone the repository from [GitLab](https://gitlab.imt-atlantique.fr/).
1. Clone the repository from [GitLab](https://gitlab.imt-atlantique.fr/) : https://gitlab.imt-atlantique.fr/m21aouad/mini-projet-intro-ml.git
2. Download the datasets and place them in the project directory.
3. Run the Jupyter Notebook to see the workflow in action.
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