November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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2.5 Préparer les données pour les algorithmes d’apprentissage automatique
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© Dunod – Toute reproduction non autorisée est un délit.
variables numériques en entrée ont des échelles très différentes. C’est le cas pour ces
données immobilières : le nombre total de pièces s’étage de 6 à 39320, tandis que
le revenu moyen ne va que de 0 à 15. Notez qu’il n’est pas nécessaire en général de
recalibrer les valeurs cibles.
Il existe deux moyens courants de mettre toutes les variables à la même échelle : la
transformation min-max et la normalisation.
La transformation min-max (en anglais, min-max scaling, ou parfois normalization)
est la plus simple : les ...
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