Data Science and Machine Learning with R - Tidyverse Overview

Data Science and Machine Learning with R - Tidyverse Overview

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video introduces the Tidyverse, a collection of R packages for data science, emphasizing its shared philosophy for data management and visualization. It highlights the importance of using Tidyverse to avoid common pitfalls in R, such as difficulty in integrating packages. The video also introduces Tidy Models, a subset of Tidyverse for machine learning, and provides resources for further learning.

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7 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Who is Hadley Wickham and what role did he play in the development of the Tidyverse?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the concept of an ecosystem within the Tidyverse.

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the Tidyverse and what is its significance in data science?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some of the core packages within the Tidyverse?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

Why is it important to use Tidyverse packages in data science?

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6.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the Tidyverse facilitate a complete data science pipeline?

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7.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the relationship between Tidyverse and machine learning?

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