Add Jupyter notebook for supervised machine learning algorithms and update dependencies

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- Created a new Jupyter notebook: 2025_M2_ISF_TP_4.ipynb for supervised machine learning exercises, including data preparation, model building, and performance analysis.
- Added 'imblearn' as a dependency in pyproject.toml to support handling imbalanced datasets.
- Updated uv.lock to include the 'imbalanced-learn' package and its dependencies.

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Arthur Danjou

2025-10-20 17:43:11 +02:00

parent e1255f326d

commit cf7d23261b

6 changed files with 14956 additions and 448 deletions

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M2/Machine Learning/TP_4/1_inputs/base_retraitee.csv Normal file

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