Book

Regression Analysis with R

Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the practical examples to support the understanding. By the end of this book you will know all the concepts and pain-points related to regression analysis, and you will be able to implement your learning in your projects.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

14h4m

Language

English

About Book

Who Is This Book For?

This book is intended for budding data scientists and data analysts who want to implement regression analysis techniques using R. If you are interested in statistics, data science, machine learning and wants to get an easy introduction to the topic, then this book is what you need! Basic understanding of statistics and math will help you to get the most out of the book. Some programming experience with R will also be helpful

Book content

chapters 14h4m total length

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

Related Resources

Access Ready-to-Use Books for Free!

Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!

No credit card required