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 by
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
Regression Analysis with R
- About Book
- Who Is This Book For?
- Book Content
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
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