March 2019
Intermediate to advanced
256 pages
4h 57m
French
Content preview from Machine learning : les fondamentauxBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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CHAPITRE 2 Le processus de mécapprentissage
Les activités relevant du minage de données ont fait l’objet d’une formalisation sous la forme d’un processus standard nommé CRISP-DM (Cross-Industry Standard Process for Data Mining). Il définit les grandes étapes successives permettant de profiter d’une amélioration continue. Voici ces six étapes :
• Compréhension du métier
• Compréhension des données
• Préparation des données
• Modélisation
• Évaluation
• Déploiement
La Figure 2.1 détaille le processus de travail que j’ai adopté pour disposer d’un modèle prédictif en me basant sur cette méthodologie CRISP-DM. Ces étapes seront parcourues au long du prochain chapitre.
Figure 2.1 : Processus classique de mécapprentissage.
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