Introduction to Data Science - Data Analysis and Prediction Algorithms with R (Hardcover)

Covers the basics of R and the tidyverse Demonstrate how to use ggplot2 to generate graphs and describe important Data Visualization principles Introduces Data Wranglin topics such as web scrapping, using regular expressions, and joining and reshaping data tables using the tidyverse tools Illustrates the importance of statistics in data analysis using case studies Uses the caret package to build prediction algorithms including K-nearest Neighbors and Random Forests Includes tools used on a day-to-day basis in data science projects including RStudio, UNIX/Linux shell, Git and GitHub, and knitr and R Markdown

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	Chapman & Hall/CRC Data Science Series
Release date:	November 2019
First published:	2020
Editors:	Martina Topic
Dimensions:	254 x 178 x 43mm (L x W x T)
Format:	Hardcover
Pages:	713
ISBN-13:	978-0-367-35798-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	0-367-35798-4
Barcode:	9780367357986

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!