Describe a dataset before building a model
Learn to describe a dataset before modeling: observations, variables, targets, distributions, missing values and limitations. Six steps with runnable Python cells and a downloadable notebook.
Learn to describe a dataset before modeling: observations, variables, targets, distributions, missing values and limitations. Six steps with runnable Python cells and a downloadable notebook.
The course links to get started. Then a short summary with every new article, so you can choose what to explore next.
Artificial intelligence, step by step: from model to web application.