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Data Science
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Data Science

A First Introduction
Buch (gebunden)ca. 226.00 CHF
lieferbar in ca. 10-20 Arbeitstagen

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.

Juli 2022, ca. 456 Seiten, Chapman & Hall/CRC Data Science Series, Englisch
Taylor and Francis
978-0-367-53217-8

Weitere Titel der Reihe: Chapman & Hall/CRC Data Science Series

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The Data Preparation Journey
Finding Your Way with R
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978-1-03-219231-4
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Data Science for Sensory and Consumer Scientists
Taylor and Francis, 2023
978-0-367-86287-9
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Big Data Analytics
A Guide to Data Science Practitioners Making the Transition to Big Data
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978-1-03-245814-4
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lieferbar in ca. 10-20 Arbeitstagen
Data Science for Water Utilities
Data as a Source of Value
Taylor and Francis, 2023
978-1-03-235454-5
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Geographic Data Science with R
Visualizing and Analyzing Environmental Change
Taylor and Francis, 2023
978-1-03-234771-4
ca. 146.00 CHF
lieferbar in ca. 10-20 Arbeitstagen
Data Science and Analytics Strategy
An Emergent Design Approach
Taylor and Francis, 2023
978-1-03-219632-9
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Introduction to Environmental Data Science
Taylor and Francis, 2023
978-1-03-232218-6
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Data Science for Infectious Disease Data Analytics
An Introduction with R
Taylor and Francis, 2022
978-1-03-218742-6
ca. 146.00 CHF
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Explanatory Model Analysis
Explore, Explain, and Examine Predictive Models
Taylor and Francis, 2022
978-0-367-69392-3
ca. 86.00 CHF
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Massive Graph Analytics
Taylor and Francis, 2022
978-0-367-46412-7
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Tree-Based Methods for Statistical Learning in R
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978-0-367-53246-8
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Public Policy Analytics
Code and Context for Data Science in Government
Taylor and Francis, 2021
978-0-367-50761-9
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