November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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9.1 Partitionnement
241
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9.1.4 Utilisation du partitionnement pour le prétraitement
Le partitionnement peut constituer une approche efcace à la réduction de dimen-
sion, en particulier en tant qu’étape de prétraitement avant un algorithme d’ap-
prentissage supervisé. À titre d’exemple de l’utilisation du partitionnement pour la
réduction de dimension, attaquons-nous au jeu de données de chiffres, un jeu de don-
nées simple ressemblant à celui du MNIST, comportant 1797 images 8×8 en niveaux
de gris représentant les chiffres de 0 à 9. Tout d’abord, chargez les données :
from sklearn.datasets import ...
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