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Modélisez vos données avec les méthodes ensemblistes
Table of contents
Part 1
Apprivoisez les méthodes parallèles
1
Améliorez la performance de vos algorithmes à l’aide des méthodes ensemblistes parallèles
2
Contrôlez la variance à l’aide du bagging
3
Réduisez la corrélation entre les apprenants faibles à l’aide des forêts aléatoires
4
TP - Mesurez la puissance des forêts aléatoires
Quiz: Partie 1
Part 2
Maîtrisez les méthodes séquentielles
1
Initiez-vous aux méthodes séquentielles et au Boosting
2
Décuplez les capacités du boosting : (X)GBoost
Quiz: Partie 2
Table of contents
Part 1
Apprivoisez les méthodes parallèles
1
Améliorez la performance de vos algorithmes à l’aide des méthodes ensemblistes parallèles
2
Contrôlez la variance à l’aide du bagging
3
Réduisez la corrélation entre les apprenants faibles à l’aide des forêts aléatoires
4
TP - Mesurez la puissance des forêts aléatoires
Quiz: Partie 1
Part 2
Maîtrisez les méthodes séquentielles
1
Initiez-vous aux méthodes séquentielles et au Boosting
2
Décuplez les capacités du boosting : (X)GBoost
Quiz: Partie 2
Partie 2
Question 1
Question 2