Related Issues (20)
- Lister les évaluations des modèles
- Décrire les modèles utilisés
- Sur-echantillonage et Sous-echantillonnage des labels
- Faire une description de l'organisation
- Remove les dates aberrantes
- Description des données dans le rapport
- Pledge défini mais state non définit (ils ont atteint leurs score mais sont enregistrer en undefined)
- GridSearch pour tout les modèles
- Regrouper Cancel+Failed et Successful et remove le reste (Live, Suspended and Undefined)
- Split : Train, Dev & Test
- Faire DecisionTree et RadomForest
- Essayer plusieurs méthodes de remplacement des données absentes
- Normalization des currencies en USD
- Voir merge les labels entre eux
- Faire MLP avec Scikit
- Pipeline Python
- La description du contexte
- Analyse préalable des données
- Compression et sauvegarde des données prétraitées
- Chargement automatique des données pretraitées
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