Predictive Analytics - An Introduction
- Authors: J. Vijayarangam1, S. Kamalakannan2, T. Karthikeyan3
-
View Affiliations Hide Affiliations1 Department of Applied Mathematics, Sri Venkateswara College of Engineering, Sriperumbudur, Tamil Nadu, India 2 Department of Information Technology, Vels Institute of Science, Technology and Advanced Studies, Chennai, India 3 Department of Mathematics, Ramakrishna Mission Vivekananda College, Chennai, India
- Source: Intelligent Technologies for Automated Electronic Systems , pp 53-64
- Publication Date: March 2024
- Language: English
Preview this chapter:
Predictive Analytics - An Introduction, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9789815179514/chapter-4-1.gif
Analytics is one of the front runners nowadays as we have data piling in various sizes and quantities and in a dynamic fashion too. Data Analytics and in particular, predictive analytics is a hot cake in the days of social media and social networks as we grow from data banks to data rivers. This chapter is a glimpse of the basics of analytics and a few predictive analytic models currently employed in the analytical circle like Multiple regression, logistic regression and K nearest neighbor model. As we are in the era of machine learning and artificial intelligence, having a predictive analytical tool in our toolkit is all the more necessary.<br>
Hardbound ISBN:
9789815179521
Ebook ISBN:
9789815179514
-
From This Site
/content/books/9789815179514.chapter-4dcterms_subject,pub_keyword-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData105
/content/books/9789815179514.chapter-4
dcterms_subject,pub_keyword
-contentType:Journal -contentType:Figure -contentType:Table -contentType:SupplementaryData
10
5
Chapter
content/books/9789815179514
Book
false
en
