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C'est un tutoriel sur l'échantillonnage bootstrap en python Découvrez dans ce cours la puissance des tests unitaires, ainsi que les différentes formes de tests Dans ce tutoriel, nous apprendrons ce qu'est le bootstrap, puis nous verrons comment le mettre en œuvre.
Apprenez à écrire et exécuter des tests unitaires efficaces en python à l'aide de pytest, en vous assurant que votre code est fiable et sans bug. Découvrez comment tester vos programmes pour éviter les erreurs. Si l’échantillon original compte n n observations, un échantillon bootstrap est obtenu en effectuant un tirage avec remise de n n éléments de l’échantillon original.
Plus précisément, et c'est le sens du terme « rééchantillonnage », un bootstrap consiste à créer des « nouveaux échantillons » statistiques, mais uniquement par tirage avec remise, à partir de l'échantillon initial.
This tutorial explains how to perform bootstrapping in python, including several examples. This package offers a bootstrap test to validate stochastic algorithms, including multiple hypothesis correction for vector statistics Dans cet article, je présente ses utilitaires d'inférence statistique et de codage python, ce qui devrait être bénéfique pour vos entretiens en science des données. Bootstrap is a powerful statistical technique that has found wide applications in data analysis and machine learning
In python, implementing bootstrap methods allows data scientists and analysts to estimate the uncertainty associated with various statistical estimates. Les tests en python permettent de s'assurer que votre code fonctionne correctement
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