18 Most Common Python List Questions
Discover how to create a list in Python, select list elements, the difference between append() and extend(), why to use NumPy and much more.
Text Mining in R: Are Pokémon GO Mentions Really Driving Up Stock Prices?
Recreate your own news trends feature in R, mining Pokémon GO data from Google News Trends and Yahoo Finance.
Driving R Adoption in Your Company With Meetups
Build a better R culture at your company with an internal meetup!
Preprocessing in Data Science (Part 3): Scaling Synthesized Data
In two previous posts, I explored the role of preprocessing data in the machine learning pipeline. In particular, I checked out the k-Near…
Preprocessing in Data Science (Part 2): Centering, Scaling, and Logistic Regression
Once again, we'll explore the wine quality dataset. I'll introduce linear regression, logistic regression and then use the latter to predi…
Preprocessing in Data Science (Part 1): Centering, Scaling, and knn
In this article, I'll use the example of scaling numerical data to explain the importance of preprocessing in the machine learning (ML) pi…
Tutorial on the R Apply Family
In this tutorial, you'll learn about the use of the apply functions in R, its variants, and a few of its relatives applied to different da…
The Data Science Industry: Who Does What (Infographic)
This infograph compares the roles of data scientists, data analysts, data architects, data engineers and more in the data science industry.
A Tutorial on Using Functions in R!
The tutorial highlights what R functions are, user defined functions in R, scoping in R, making your own functions in R, and much more.