Commit Graph

29 Commits

Author SHA1 Message Date
5f1cec7858 Implement feature X to enhance user experience and fix bug Y in module Z 2025-11-11 15:50:59 +01:00
fa5785e714 Implement code changes to enhance functionality and improve performance 2025-11-05 17:32:20 +01:00
ba6bea2c73 Add new Jupyter notebooks for ResNet and CNN exercises; update execution counts in existing notebooks 2025-11-05 17:09:58 +01:00
37c0cd370e Add CatBoost dependency and update lock file
- Added CatBoost version 1.2.8 to the project dependencies in pyproject.toml.
- Updated uv.lock to include CatBoost and its dependencies, along with the necessary wheel files.
- Included Graphviz version 0.21 in the lock file as a dependency for CatBoost.
2025-10-27 19:26:30 +01:00
a0cc98744f Implement code changes to enhance functionality and improve performance 2025-10-23 15:02:34 +02:00
2ca65ffe73 Refactor Gradient Boosting Classifier Implementation
- Updated execution counts for various code cells to maintain consistency.
- Changed the model from RandomForestClassifier to GradientBoostingClassifier.
- Modified hyperparameter grid for GridSearchCV to include learning_rate and adjusted n_estimators.
- Added stratification to train-test split for better representation of classes.
- Corrected scoring parameter in GridSearchCV to use a valid metric.
- Updated output messages to reflect changes in model evaluation metrics.
2025-10-20 19:24:23 +02:00
3f2cd3a308 Implement feature X to enhance user experience and fix bug Y in module Z 2025-10-20 18:44:22 +02:00
12bba2cea7 Implement feature X to enhance user experience and fix bug Y in module Z 2025-10-20 18:13:39 +02:00
cf7d23261b 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.
2025-10-20 17:43:11 +02:00
d8b535418c Implement structural updates and optimizations across multiple modules 2025-10-14 10:45:57 +02:00
ec5e23e3d4 Ajout de la séparation des données en ensembles d'apprentissage et de test, et implémentation de la recherche de grille pour les hyperparamètres du modèle Random Forest. 2025-10-13 20:00:44 +02:00
a0b0a9f8bd Refactor code in 2025_TP_3_M2_ISF.ipynb:
- Updated execution counts for multiple code cells to maintain consistency.
- Removed redundant imports and organized import statements.
- Improved formatting for better readability in train-test split section.
- Added markdown explanations for model performance metrics (MAE, RMSE).
- Enhanced cross-validation training loop with detailed output for each fold's metrics.
2025-10-13 19:58:58 +02:00
047f30def1 Implement feature X to enhance user experience and fix bug Y in module Z 2025-10-13 19:29:48 +02:00
f3a09a5282 Implement feature X to enhance user experience and fix bug Y in module Z 2025-10-13 19:22:57 +02:00
1ccdcb3803 Ajout de l'exécution de cellules pour le One Hot Encoding, la normalisation des variables numériques et la séparation des données en ensembles d'apprentissage et de test. 2025-10-13 18:24:13 +02:00
a63b1bf94c Implement feature X to enhance user experience and fix bug Y in module Z 2025-10-13 18:12:52 +02:00
19d7d398ae Implement code changes to enhance functionality and improve performance 2025-10-13 18:10:31 +02:00
7cc7df0376 Implement feature X to enhance user experience and fix bug Y in module Z 2025-10-13 18:10:19 +02:00
963948f19f Ajout du fichier Course1.xlsm et mise à jour de l'exécution des cellules dans le notebook TP_2 pour corriger le compteur d'exécution. 2025-10-13 17:40:54 +02:00
185de1142d Refactor code in Jupyter notebooks for clarity and consistency
- Set execution_count to null for specific code cells in 2025_TP_1_M2_ISF.ipynb to reset execution state.
- Replace output display of DataFrames with print statements in 2025_TP_1_M2_ISF.ipynb for better visibility during execution.
- Clean up import statements in 2025_TP_2_M2_ISF.ipynb by adding noqa comments for better linting and readability.
2025-10-08 10:24:51 +02:00
b6cfa3349e Implement code changes to enhance functionality and improve performance 2025-10-08 10:22:05 +02:00
8e081a1ccb Implement code changes to enhance functionality and improve performance 2025-10-06 18:12:46 +02:00
c925c8a5c0 Correction de la mise en forme et mise à jour de la version de Python dans le notebook TP_2_M2_ISF.ipynb 2025-10-02 08:26:49 +02:00
7b9a6bd0ff Implement code changes to enhance functionality and improve performance 2025-09-29 17:56:11 +02:00
f3d7c2fc09 Checkpoint from VS Code for coding agent session 2025-09-29 17:34:06 +02:00
0d00de44e8 Add MySQL setup and initial data scripts
- Created a Docker Compose file to set up a MySQL container named M2_SQL_COURSE with an empty password and a database named TP.
- Added a Makefile with a target to execute a SQL script (TP1.sql) inside the MySQL container and log the output.
- Implemented the TP1.sql script to create tables for Magasin and Localite, insert initial data, and perform several queries.
2025-09-25 09:31:10 +02:00
6738419f7c Add new plot 2025-09-15 20:02:19 +02:00
c72538fac3 Add new plot 2025-09-15 19:59:26 +02:00
08d0d93393 Add 'Machine Learning' TP1 2025-09-15 19:58:46 +02:00