Data Mining for Business Analytics: Concepts, Techniques and Applications in Python by Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel
English | October 21st, 2019 | ISBN: 1119549841 | 607 pages | EPUB | 7.20 MB
All posts tagged Mining
Data Mining for Business Analytics: Concepts, Techniques and Applications in Python
Data Mining for Business Analytics: Concepts, Techniques and Applications in Python by Galit Shmueli, Peter C. Bruce, Peter Gedeck, Nitin R. Patel
English | October 21st, 2019 | ISBN: 1119549841 | 607 pages | EPUB | 7.20 MB
Principles of Data Mining (Undergraduate Topics in Computer Science)
Principles of Data Mining (Undergraduate Topics in Computer Science) by Max Bramer
English | November 9, 2016 | ISBN: 1447173066 | 544 pages | PDF | 4.23 Mb
Build Ethereum Mining Rig Raspberry Pi Full Node [Python Client]
Build Ethereum Mining Rig Raspberry Pi Full Node [Python Client] by Agus Yulianto
English | 13 Oct. 2017 | ASIN: B076G68B3P | 21 Pages | AZW3 | 227.05 KB
Text Mining with R: A Tidy Approach
Text Mining with R: A Tidy Approach by Julia Silge
English | 12 Jun. 2017 | ASIN: B071K9RT9Z | 194 Pages | AZW3 | 4.26 MB
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy principles behind R packages like ggraph and dplyr. You’ll learn how tidytext and other tidy tools in R can make text analysis easier and more effective.
