Learning Predictive Analytics with R
β Scribed by Eric Mayor
- Publisher
- Packt Publishing
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Get to grips with key data visualization and predictive analytic skills using R
About This Book
Who This Book Is For
If you are a statistician, chief information officer, data scientist, ML engineer, ML practitioner, quantitative analyst, and student of machine learning, this is the book for you. You should have basic knowledge of the use of R. Readers without previous experience of programming in R will also be able to use the tools in the book.
What You Will Learn
π SIMILAR VOLUMES
R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target a
Packt Publishing, 2015. β 332 p. β ISBN: 1782169350, 9781782169352<div class="bb-sep"></div>R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning
Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About This Book A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices Get to grips with the basics of Predictive Analytics with Py
Packt Publishing, 2015. β 492 p. β ISBN: 9781783983261<div class="bb-sep"></div>Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python About This Book:<br/>A step-by-step guide to predictive modeling including lots of tips, tr