In this article, I am going to introduce a few concepts of how to set up and get started with R and RStudio to perform machine learning workloads. It has always been the heat of the discussion on whether to choose Python or R for performing Machine Learning analysis. In my opinion, both the languages excel in their own space and there is no point-to-point comparison between the two directly. Mathematicians and statisticians like to work within the R environment, while programmers choose to work with Python.

In this article, we will discuss the Fuzzy joins in the SQL Server Machine Learning using R scripts.

In this article, we will explore Web Scraping using R Scripts for SQL Machine Learning.

In this article, we will read and import data from a PDF file using the R scripts SQL Server.

Data professionals get requests to import, export data into various formats. These formats can be such as Comma-separated data(.CSV), Excel, HTML, JSON, YAML, Tab-separated data(.TSV). Usually, we use SQL Server integration service ETL packages for data transformations, import or export data.

In the article, An overview of SQL Machine Learning with R scripts, we learned the R services integration with SQL Server 2019. We also explored a few useful external packages.