From Mastering Large Datasets by JT Wolohan
This article explores using the map function creatively in a data project.
From Machine Learning with R, tidyverse, and mlr by Hefin Rhys
This article covers:
• What the tidyverse is
• What’s meant by tidy data
• How to install and load the tidyverse
• How to use the tibble, dplyr, ggplot2 and tidyr packages of the tidyverse
From Azure Data Engineering: Real-time, streaming, and batch analytics
By Richard L. Nuckolls
From Machine Learning for Mortals (Mere and Otherwise) by Hefin I. Rhys
Six Questions for Jonathan Carroll, author of Beyond Spreadsheets with R
By Frances Lefkowitz
Jonathan Carroll is a data science consultant providing R programming services. He holds a PhD in theoretical physics.
From Python for Big Datasets by John T. Wolohan
From Graph-Powered Machine Learning by Alessandro Negro
From Data Science at Scale with Python and Dask by Jesse C. Daniel
This article delves into building linear models using Dask-ML.
From Practical Data Science with R, 2nd Ed. By Nina Zumel and John Mount
In this article, we demonstrate some ways to get to know your data, and discuss some of the potential issues that you’re looking for as you explore.
From Graph Databases in Action by Dave Bechberger
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