Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models.
juillet 2022, env. 456 pages, Chapman & Hall/CRC Data Science Series, Anglais
Taylor and Francis
978-0-367-53217-8
Taylor and Francis
978-0-367-53217-8
Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models.
juillet 2022, env. 456 pages, Chapman & Hall/CRC Data Science Series, Anglais
Taylor and Francis
978-0-367-53217-8
Taylor and Francis
978-0-367-53217-8
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