Abstract
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.
Keywords: Analytics, KNN, Logistics, Regression.
About this chapter
Cite this chapter as:
J. Vijayarangam, S. Kamalakannan, T. Karthikeyan ;Predictive Analytics - An Introduction, Intelligent Technologies for Automated Electronic Systems Advanced Technologies for Science and Engineering (2024) 1: 53. https://doi.org/10.2174/9789815179514124010006
DOI https://doi.org/10.2174/9789815179514124010006 |
Publisher Name Bentham Science Publisher |