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Learn the fundamentals of R markdown in this in-depth tutorial, or simply use it as a quick reference guide and cheatsheet for R markdown formatting.In this blog post, we’ll look at how to use R Markdown. By the end, you’ll have the skills you need to produce a document or presentation using R Mardown, from scratch!

This video on How to import data in R will make your understand how to load and read data from different file types. You will learn the R programming basics along with different packages and functions required to import data present in text, csv, excel and sas files. You will also look at how to write data from R to an excel file.

We are going to learn the introduction of machine learning and linear regression in R 4.0 programming. We will start with the introduction of machine learning then we will discuss the introduction of linear regression. I will also discuss types of linear regression and use cases of linear regression. there are two types of linear regression; simple linear regression and multiple linear regression. Use cases of linear regression are in house price prediction, stock price prediction, Twitter popularity prediction. I will thereafter show you how to analyze the Boston housing dataset. We will analyze dataset variables to understand the variable dependency for the linear regression model. I will show you the linear and non-linear regression models. Thereafter, I will show how you can improve the accuracy of a linear regression model.

R for Machine Learning || How to Install R 4.0 in Anaconda on Windows 10 | R Programming. I will show you how to install R 4.+ on Windows 10 in Anaconda.

👉 This video will introduce you to the R programming language, and will give you a hands-on overview of the statistical programming language R, one of the most important programming tools in data science..