Introduction to R: Linear Regression
Автор: DataDaft
Загружено: 2021-02-04
Просмотров: 2594
This lesson covers the basics of linear regression in R. It includes a discussion of basic linear regression, polynomial regression and multiple linear regression as well as some assumptions and potential sources of problems when making linear regression models.
This is lesson 27 of a 30-part introduction to the R programming language for data analysis and predictive modeling. Link to the code notebook below:
Intro to R: Linear Regression
https://www.kaggle.com/hamelg/intro-t...
This guide does not assume any prior exposure to R, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn R.
I will create the videos for this guide such that you should be able to learn a lot just watching on YouTube, but to get the most out of the guide, it is recommended that you create a Kaggle account so that you can fork and edit each lesson so that you can follow along and run code yourself.
Introduction to R Playlist:
• Introduction to R
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