8f5f2b417c
Implement code changes to enhance functionality and improve performance
2025-11-06 09:13:40 +01:00
5c8efbdc2e
Add initial project files and styles for data visualization
...
- Created a new Excel file: `departements-francais.xlsx` for data storage.
- Added a CSS file: `style.css` with custom styles for various mathematical environments including boxes for lemmas, theorems, definitions, and more, complete with automatic numbering.
- Initialized R project file: `tp2.Rproj` with default settings for workspace management and LaTeX integration.
2025-11-06 09:07:30 +01:00
6369e30257
Met à jour le compteur d'exécution, réorganise les importations et modifie la version de Python dans le notebook TP2
2025-11-06 09:06:36 +01:00
aec178208e
Met à jour le compteur d'exécution et supprime l'importation de TensorFlow dans le notebook TP2
2025-11-05 19:53:09 +01:00
098e20c982
Implement feature X to enhance user experience and optimize performance
2025-11-05 19:43:29 +01:00
e71aae349f
Implement new feature for user authentication and improve error handling
2025-11-05 18:27:54 +01:00
fa5785e714
Implement code changes to enhance functionality and improve performance
2025-11-05 17:32:20 +01:00
632240d232
Ajoute une section "Deep Learning" au README et met à jour les dépendances pour inclure Keras
2025-11-05 17:15:53 +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
0af6f7a5d0
Corrige l'affichage des prédictions et ajuste les impressions pour une meilleure clarté
2025-10-29 20:10:42 +01:00
f53ff6a2be
Implement feature X to enhance user experience and optimize performance
2025-10-29 20:06:40 +01:00
20e3ca2326
Implement feature X to enhance user experience and fix bug Y in module Z
2025-10-29 19:55:30 +01:00
eab43866c3
Implement code changes to enhance functionality and improve performance
2025-10-29 19:53:14 +01:00
61cc00c973
Implement code changes to enhance functionality and improve performance
2025-10-29 19:38:48 +01:00
365da9c37e
Implement feature X to enhance user experience and fix bug Y in module Z
2025-10-29 19:13:30 +01:00
db85923e94
Implement feature X to enhance user experience and fix bug Y in module Z
2025-10-29 19:03:42 +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
76a57c3d73
Mise à jour du fichier Course1.xlsm avec des modifications binaires
2025-10-23 15:02:45 +02:00
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
e1255f326d
Add new data file datafreMPTL.RData for analysis in Data Visualisation project
2025-10-20 17:43:04 +02:00
4efbee7ce4
Implement feature X to enhance user experience and fix bug Y in module Z
2025-10-14 17:09:14 +02:00
3c0113115c
Ajout de sections pour la visualisation des données et RShiny dans le README
2025-10-14 11:41:19 +02:00
85a7469195
Réorganisation du code pour améliorer la lisibilité et la structure de l'installation des packages
2025-10-14 11:16:14 +02:00
5af3c76113
Implement code changes to enhance functionality and improve performance
2025-10-14 11:12:31 +02:00
ba158c366b
Refactor normality test logic in portef_v3_4_3.ipynb
...
- Changed execution_count from 3 to null for a cleaner notebook state.
- Simplified the normality test logic by using a conditional expression to determine the p-value calculation, improving code readability.
2025-10-14 10:46:56 +02:00
d8b535418c
Implement structural updates and optimizations across multiple modules
2025-10-14 10:45:57 +02:00
b6c9e91481
Implement feature X to enhance user experience and optimize performance
2025-10-14 10:18:24 +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
592d7bc7eb
Correction de la numérotation de la question dans la requête SQL pour la sélection des orateurs dans DANJOU_Arthur.sql
2025-10-09 18:14:49 +02:00
26e7a4da36
Correction de la requête SQL pour supprimer le GROUP BY dans la sélection du prix minimum dans DANJOU_Arthur.sql
2025-10-09 12:29:21 +02:00
6247d4b7e1
Correction des alias dans les requêtes SQL pour une meilleure lisibilité et cohérence dans TP3.sql
2025-10-09 12:25:58 +02:00
59b0c0de5c
Ajout des requêtes SQL pour les exercices 1 et 2, y compris la création des tables, l'insertion des données et les modifications du Makefile pour inclure TP3.
2025-10-09 12:16:58 +02:00
9fc0fad1ef
Refactor les requêtes SQL pour utiliser des jointures explicites dans TP2.sql
2025-10-09 12:13:16 +02:00
fe8be01369
Merge branch 'master' of https://github.com/ArthurDanjou/studies
2025-10-09 12:13:05 +02:00
Arthur Danjou
40085147f0
Ajouter le script SQL complet pour les exercices 1 et 2 avec les requêtes correspondantes
2025-10-09 11:22:42 +02:00
Arthur Danjou
beedb187f7
Ajouter des requêtes SQL pour les questions Q3.10 à Q3.13 dans le script TP3.sql
2025-10-09 10:02:04 +02:00
danjar24
585277a622
Add TP3
2025-10-09 09:40:06 +02:00
bbed2263ef
Modifier les paramètres de contrôle personnalisés pour utiliser une validation croisée à 10 plis et répéter 10 fois pour une robustesse accrue
2025-10-08 16:22:16 +02:00
