Versions & Cheats
Versions
Cheats
1.1 Introduction à la Data Science
Tips - Analyse
Tips - Tests d'hypothèse
Tips - Encodage
Health Expectancy - Analyse
Health Expectancy - Tests d'hypothèse
Miles per Gallon - Analyse
Miles per Gallon - Tests d'hypothèse
Miles per Gallon - Encodage OneHot
Miles per Gallon - Polynomial Features
Miles per Gallon - Traitement des NaN (Simple Imputer, KNN Imputer)
Anscombe - Analyse
Diamonds - Preprocessing
Diamonds - Polynomial Features
Diamonds - Outliers
Diamonds - Séquence de preprocessing
Diamonds - Pipeline Sklearn
Glue - Analyse et tests d'hypothèse
Exercise - Encodage
Flights - Encodage
Penguins - Encodage
Taxis - Encodage
Titanic - Traitement des NaN (dropna)
Preprocessing
Encoding (Label Encoder)
Normalisation
Feature Engineering
Nettoyage des Outliers (IQR) - Diamonds ('carat')
Nettoyage des Outliers (LoF)
Traitement des NaN (dropna) - titanic
Traitement des NaN (Simple Imputer, KNN Imputer) - mpg
Sélection de Features (SelectKBest)
Preprocessing - Sequence
Séquence simple (Encoding + Normalisation) - diamonds
Pipeline Sklearn - Diamonds
Exemples de Pipelines
Sklearn - Pipelines
Exercice 1
Exercice 2
Exercice 3
Exercice 4
Exercice 1
Exercice 2
Exercice 3
Exercice 4
