Exploratory Data Analysis

62 min
Block 4 — Understanding the data before modeling
Objective
define exploratory analysis rigorously and separate it from confirmatory analysis, run a layered exploration protocol, produce the structural inventory of a dataset, examine the target variable and its relationships with the explanatory variables, and recognize the methodological contamination that an exploration conducted on the whole dataset introduces into the final evaluation.
Estimated duration
55 minutes
Prerequisites
chapters 005 (dataset structure), 006 (features and target), 010 (classification or regression), 011 (types of classification), 012 (project lifecycle)
Associated quizzes
013.1-quiz-definition-of-eda.md to 013.8-quiz-pre-modeling-checklist.md

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This lesson is part of the “Exploratory Data Analysis (EDA)” module

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