Your First Machine Learning Project in R Step-By-Step (tutorial and template for future projects)

Do you want to do machine learning using R, but you’re having trouble getting started? In this post you will complete your first machine learning project using R. In this step-by-step tutorial you will: Download and install R and get the most useful package for machine learning in R. Load a dataset and understand it’s structure using statistical summaries […]

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Pipelining R and Python in Notebooks

by Micheleen Harris Microsoft Data Scientist As a Data Scientist, I refuse to choose between R and Python, the top contenders currently fighting for the title of top Data Science programming language. I am not going to argue about which is better or pit Python and R against each other. Rather, I'm simply going to suggest to play to the strengths of each language and consider using them together in the same pipeline if you don't want to give up advantages of one over the other. This is not a novel concept. Both languages have packages/modules which allow for the...

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In-depth analysis of Twitter activity and sentiment, with R

Astronomer and budding data scientist Julia Silge has been using R for less than a year, but based on the posts using R on her blog has already become very proficient at using R to analyze some interesting data sets. She has posted detailed analyses of water consumption data and health care indicators from the Utah Open Data Catalog, religious affiliation data from the Association of Statisticians of American Religious Bodies, and demographic data from the American Community Survey (that's the same dataset we mentioned on Monday). In a two-part series, Julia analyzed another interesting dataset: her own archive of...

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What is better: gradient-boosted trees, or random forest?

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Better Understand Your Data in R Using Descriptive Statistics (8 recipes you can use today)

You must become intimate with your data. Any machine learning models that you build are only as good as the data that you provide them. The first step in understanding your data is to actually look at some raw values and calculate some basic statistics. In this post you will discover how you can quickly get […]

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Super Fast Crash Course in R (for developers)

As a developer you can pick-up R super fast. If you are already a developer, you don’t need to know much about a new language to be able to reading and understanding code snippets and writing your own small scripts and programs. In this post you will discover the basic syntax, data structures and control […]

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A gentle introduction to parallel computing in R

Let’s talk about the use and benefits of parallel computation in R. IBM’s Blue Gene/P massively parallel supercomputer (Wikipedia). Parallel computing is a type of computation in which many calculations are carried out simultaneously.” Wikipedia quoting: Gottlieb, Allan; Almasi, George S. (1989). Highly parallel computing The reason we care is: by making the computer work … Continue reading A gentle introduction to parallel computing in R

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