Add Jupyter notebook for supervised machine learning algorithms and update dependencies

- 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.

pyproject.toml

@@ -5,6 +5,7 @@ description = "A curated collection of mathematics and data science projects dev
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
+    "imblearn>=0.0",
     "ipykernel>=6.29.5",
     "keras>=3.11.3",
     "matplotlib>=3.10.1",