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.idea
.idea
 
 
.ipynb_checkpoints
.ipynb_checkpoints
 
 
.vscode
.vscode
 
 
.gitpod.yml
.gitpod.yml
 
 
Cours_INSA_ML.pdf
Cours_INSA_ML.pdf
 
 
DNN_MNIST.ipynb
DNN_MNIST.ipynb
 
 
GridSearch_methode.ipynb
GridSearch_methode.ipynb
 
 
LICENSE
LICENSE
 
 
Les_differents_types_de_classification.ipynb
Les_differents_types_de_classification.ipynb
 
 
Mall_Customers.csv
Mall_Customers.csv
 
 
PCA.ipynb
PCA.ipynb
 
 
POO avec Python.ipynb
POO avec Python.ipynb
 
 
README.md
README.md
 
 
Regression_lineaire_SGD_ridge_lasso_elastic_net.ipynb
Regression_lineaire_SGD_ridge_lasso_elastic_net.ipynb
 
 
Regression_logistique.ipynb
Regression_logistique.ipynb
 
 
SVM-2.ipynb
SVM-2.ipynb
 
 
SVM.ipynb
SVM.ipynb
 
 
bagging_boosting_stacking.ipynb
bagging_boosting_stacking.ipynb
 
 
biostats_titanic3.xls
biostats_titanic3.xls
 
 
clustering_differentes_methodes.ipynb
clustering_differentes_methodes.ipynb
 
 
exercice_pratique_1.ipynb
exercice_pratique_1.ipynb
 
 
feature_selection.ipynb
feature_selection.ipynb
 
 
figure.png
figure.png
 
 
home-data.ipynb
home-data.ipynb
 
 
image1.png
image1.png
 
 
image2.png
image2.png
 
 
image3.png
image3.png
 
 
iris.csv
iris.csv
 
 
keras-1.ipynb
keras-1.ipynb
 
 
kmean.ipynb
kmean.ipynb
 
 
knn sur mnist.ipynb
knn sur mnist.ipynb
 
 
make_classification vs make_blobs.ipynb
make_classification vs make_blobs.ipynb
 
 
matrice_confusion.png
matrice_confusion.png
 
 
matrice_de_confusion_ROC_AUC.ipynb
matrice_de_confusion_ROC_AUC.ipynb
 
 
metrique_de_regression.pdf
metrique_de_regression.pdf
 
 
metriques kmean.ipynb
metriques kmean.ipynb
 
 
mnist_keras.ipynb
mnist_keras.ipynb
 
 
numpy_et_pandas_et_matplotlib.ipynb
numpy_et_pandas_et_matplotlib.ipynb
 
 
pipeline.html
pipeline.html
 
 
pipeline.ipynb
pipeline.ipynb
 
 
preprocessing-encodage-normalisation-pipeline.ipynb
preprocessing-encodage-normalisation-pipeline.ipynb
 
 
preprocessing-pipeline-avance.ipynb
preprocessing-pipeline-avance.ipynb
 
 
preprocessing_ohe_imp.ipynb
preprocessing_ohe_imp.ipynb
 
 
regression_soft_max.ipynb
regression_soft_max.ipynb
 
 
requirements.txt
requirements.txt
 
 
scikit_learn_1.ipynb
scikit_learn_1.ipynb
 
 
titanic3.xls
titanic3.xls
 
 
titanic_2.ipynb
titanic_2.ipynb
 
 
train_test_split.ipynb
train_test_split.ipynb
 
 

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INSA2021

Le cours d'introduction à l'analyse des données par le Machine Learning et le Deep Learning et les Dépôt des Notebook Jupyter INSA Promotion 2021

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Dépôt public des notebook Jupyter INSA 2021

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