Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages desi...
From the author of the bestsellers, Data Scientist and Julia for Data Science, this book covers four foundational areas of data science. The first area is the data sci...
The last few blog posts of this series discussed regression models. Fernando has selected the best model. He has built a multivariate regression model. The model takes ...
In the last few blog posts of this series, we discussed simple linear regression model. We discussed multivariate regression model and methods for selecting the right mod...
Description of Contest Data Science Central (DSC) is excited to announce our competition to solve a new, interesting problem in statistical science, pertaining to stocha...
Data science can be a lucrative career path, with plenty of opportunities to forge your way up the ladder. In order to get there, however, first you have to start at the ...
This article was written by Michael Rundell. A Curated List of Data Science Interview Questions Preparing for an interview is not easy – naturally there is a large amou...
Here is a guest blog by Ian White . Ian is an entrepreneurial product leader with 20 years experience spanning product management and business strategy at the intersect...
Summary: For those of you traditional data scientist who are interested in AI but still haven’t given it a deep dive, here’s a high level overview of the data scien...
Jupyter notebook content for my OReilly book, the Python Data Science Handbook. This repository contains the full listing of IPython notebooks used to create the book, i...