Regression Analysis with R will give you a rundown explaining what regression analysis is, explaining you the process from scratch. The first few chapters give an understanding of what the different types of learning are – supervised and unsupervised, how these learnings differ from each other. (Limited-time offer)
Table of Contents
- Getting Started with Regression
- Basic Concepts – Simple Linear Regression
- More Than Just One Predictor – MLR
- When the Response Falls into Two Categories – Logistic Regression
- Data Preparation Using R Tools
- Avoiding Overfitting Problems – Achieving Generalization
- Going Further with Regression Models
- Beyond Linearity – When Curving Is Much Better
- Regression Analysis in Practice
Download Free PDF / Read Online
Author(s): Giuseppe Ciaburro
Publisher: Packt Publishing
Published: January 2018
Format(s): Online
File size: –
Number of pages: 422
Download / View Link(s): This offer has ended.
Free as of 08/16/2022.
Publisher: Packt Publishing
Published: January 2018
Format(s): Online
File size: –
Number of pages: 422
Download / View Link(s): This offer has ended.
Free as of 08/16/2022.