Minimalist Data Wrangling with Python

Minimalist Data Wrangling with Python

Minimalist Data Wrangling with Python

Автор: Marek Gagolewski
Дата выхода: 2024
Издательство: Independent publishing
Количество страниц: 437
Размер файла: 4,7 МБ
Тип файла: PDF
Добавил: codelibs
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 Minimalist Data Wrangling with Python is envisaged as a student's first introduction to data science, providing a high-level overview as well as discussing key concepts in detail. We explore methods for cleaning data gathered from different sources, transforming, selecting, and extracting features, performing exploratory data analysis and dimensionality reduction, identifying naturally occurring data clusters, modelling patterns in data, comparing data between groups, and reporting the results.


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