Amazon cover image
Image from Amazon.com

introduction to data analytics / by João Mendes Moreira, André C.P.L.F. de Carvalho, Tomáš Horváth.

By: Contributor(s): Publisher: Hoboken, NJ : John Wiley & Sons, Inc., 2019Copyright date: ©2019Description: 1 online resource (xix, 323 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119296263
  • 1119296269
  • 9781119296294
  • 1119296293
Subject(s): Genre/Form: Additional physical formats: Print version:: General introduction to data analytics.DDC classification:
  • 519.50285 23
LOC classification:
  • QA276.4 .M664 2019
Online resources:
Contents:
What can we do with data? -- Descriptive statistics -- Descriptive multivariate analysis -- Data quality and preprocessing -- Clustering -- Frequent pattern mining -- Cheat sheet and project on descriptive analytics -- Regression -- Classification -- Additional predictive methods -- Advanced predictive topics -- Cheat sheet and project on predictive analytics -- Applications for text, web and social media.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Includes bibliographical references and index.

What can we do with data? -- Descriptive statistics -- Descriptive multivariate analysis -- Data quality and preprocessing -- Clustering -- Frequent pattern mining -- Cheat sheet and project on descriptive analytics -- Regression -- Classification -- Additional predictive methods -- Advanced predictive topics -- Cheat sheet and project on predictive analytics -- Applications for text, web and social media.

Online resource; title from digital title page (viewed on July 20, 2018).

There are no comments on this title.

to post a comment.

Contact Us

Perpustakaan Tun Seri Lanang, Universiti Kebangsaan Malaysia
43600 Bangi, Selangor Darul Ehsan,Malaysia
+603-89213446 – Consultation Services
019-2045652 – Telegram/Whatsapp
Email: helpdeskptsl@ukm.edu.my

Copyright ©The National University of Malaysia Library