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@ -820,7 +820,7 @@
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]
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},
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{
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"questionText": "Types de régression logistique incluent",
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"questionText": "Les types de régression logistique incluent",
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"answerOptions": [
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{
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"answerText": "multinomial et cardinal",
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@ -848,7 +848,7 @@
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"isCorrect": "false"
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},
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{
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"answerText": "cardinal",
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"answerText": "cardinale",
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"isCorrect": "false"
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}
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]
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@ -860,7 +860,7 @@
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"title": "Régression logistique: Quiz de validation des connaissances",
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"quiz": [
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{
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"questionText": "Sea-né est un type de",
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"questionText": "Seaborn est un type de",
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"answerOptions": [
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{
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"answerText": "Bibliothèque de visualisation de données",
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@ -880,15 +880,15 @@
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"questionText": "Une matrice de confusion est également connue sous le nom de:",
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"answerOptions": [
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{
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"answerText": "matrice d'erreur",
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"answerText": "Matrice d'erreur",
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"isCorrect": "true"
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},
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{
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"answerText": "Matrix de vérité",
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"answerText": "Matrice de vérité",
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"isCorrect": "false"
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},
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{
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"answerText": "matrice de précision",
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"answerText": "Matrice de précision",
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"isCorrect": "false"
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}
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]
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@ -916,35 +916,35 @@
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"title": "Construire une application Web: Quiz préalable",
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"quiz": [
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{
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"questionText": "Qu'est-ce que OnNX signifie?",
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"questionText": "Qu'est-ce que ONNX signifie?",
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"answerOptions": [
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{
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"answerText": "Exchange de réseau de neurones",
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"answerText": "Over Neural Network Exchange",
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"isCorrect": "false"
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},
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{
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"answerText": "Exchange de réseau de neurones ouverts",
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"answerText": "Open Neural Network Exchange",
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"isCorrect": "true"
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},
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{
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"answerText": "Exchange de réseau neural de sortie",
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"answerText": "Output Neural Network Exchange",
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"isCorrect": "false"
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}
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]
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},
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{
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"questionText": "Comment le ballon est-il défini par ses créateurs?",
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"questionText": "Comment Flask est-il défini par ses créateurs?",
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"answerOptions": [
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{
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"answerText": "mini-cadre",
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"answerText": "mini-framework",
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"isCorrect": "false"
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},
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{
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"answerText": "Grand-cadre",
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"answerText": "grand-framework",
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"isCorrect": "false"
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},
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{
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"answerText": "micro-cadre",
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"answerText": "micro-framework",
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"isCorrect": "true"
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}
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]
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@ -953,15 +953,15 @@
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"questionText": "Que fait le module de cornichon de Python",
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"answerOptions": [
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{
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"answerText": "Serialise un objet Python",
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"answerText": "Serialiser un objet Python",
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"isCorrect": "false"
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},
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{
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"answerText": "désagréalise un objet Python",
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"answerText": "Dé-sérialiser un objet Python",
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"isCorrect": "false"
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},
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{
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"answerText": "Serialise et désémarifier un objet Python",
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"answerText": "Sérialiser et Dé-sérialiser un objet Python",
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"isCorrect": "true"
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}
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]
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@ -976,7 +976,7 @@
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"questionText": "Quels sont les outils que nous pouvons utiliser pour héberger un modèle pré-formé sur le Web à l'aide de Python?",
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"answerOptions": [
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{
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"answerText": "Flacon",
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"answerText": "Flask",
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"isCorrect": "true"
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},
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{
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@ -984,7 +984,7 @@
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"isCorrect": "false"
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},
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{
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"answerText": "ONNX.JS",
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"answerText": "onnx.JS",
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"isCorrect": "false"
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}
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]
|
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@ -1018,7 +1018,7 @@
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"isCorrect": "false"
|
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},
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{
|
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"answerText": "Code des données en série",
|
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|
"answerText": "Encode des données en série",
|
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|
"isCorrect": "false"
|
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|
|
}
|
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]
|
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