Accessing and Manipulating Data in R: Using R in Data Science and ML

Accessing and Manipulating Data in R Perhaps as you may have noted in following this series from the Art of Better Programming, we have gone through great lengths to provide knowledge and resources to you for learning data science. We began primarily with a variety of series that elaborated on data science with Python. WeContinue reading “Accessing and Manipulating Data in R: Using R in Data Science and ML”

Regression From the Mathematical Perspective: Topics of Data Modeling

Prologue Before we begin, take a second. Open this link in a new tab. Did you do it? I’ll wait. Oh, you opened it? Great. Sorry for the forwardness, but this book is one of the greatest tools I have used in taking myself from a beginner in programming to a full time data scientist.Continue reading “Regression From the Mathematical Perspective: Topics of Data Modeling”

Linear Regression Models: Topics of Machine Learning

An Introduction to Linear Regression The present article endeavors to explore the intricacies of linear regression models in machine learning. Before embarking on this discussion, we would like to provide a brief overview on the analyses explored in the Topics of Machine Learning series. Much of our investigative efforts have centered on one of twoContinue reading “Linear Regression Models: Topics of Machine Learning”

A COVID-19 Comprehensive Data Model From Web Scraping

Overview If you’ve been following along with The Art of Data Science blog, you may have seen our previous tutorials on data parsing from the internet. Our first tutorial involved the construction of a rather basic web scraper, the other involved the development of a slightly more sophisticated web crawler. Both of these were developedContinue reading “A COVID-19 Comprehensive Data Model From Web Scraping”