R bloggers

Shodan – A tool for Security and Market Research

November 20, 2017
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Shodan – A tool for Security and Market Research

So you have a knack for all things data, know a dozen different Machine Learning algorithms, are a skillful user of Big Data tools, and have started learning Deep Learning — not much else there is to Data Science, right? Well, I would submit that kno...

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ochRe – Australia themed colour palettes

ochRe – Australia themed colour palettes

The second rOpenSci OzUnConf was held in Melbourne Australia a few weeks ago. A diverse range of scientists, developers and general good-eggs came together to make some R-magic happen and also learn a lot along the way. Before the conference began, a huge stack of projects were suggested on the unconf GitHub repo. For six data-visualisation enthusiasts, one...

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Twitter coverage of the Australian Bioinformatics & Computational Biology Society Conference 2017

November 20, 2017
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Twitter coverage of the Australian Bioinformatics & Computational Biology Society Conference 2017

You know the drill by now. Grab the tweets. Generate the report using RMarkdown. Push to Github. Publish to RPubs. This time it’s the Australian Bioinformatics & Computational Biology Society Conference 2017, including the COMBINE symposium. Looks like a good time was had by all in Adelaide. A couple of quirks this time around. First, … Continue reading Twitter...

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R charts in a Tweet

November 20, 2017
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R charts in a Tweet

Twitter recently doubled the maximum length of a tweet to 280 characters, and while all users now have access to longer tweets, few have taken advantage of the opportunity. Bob Rudis used the rtweet package to analyze tweets sent with the #rstats hashtag since 280-char tweets were introduced, and most still kept below the old 280-character limit. The actual...

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Kaggle’s Advanced Regression Competition: Predicting Housing Prices in Ames, Iowa

November 20, 2017
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Kaggle’s Advanced Regression Competition: Predicting Housing Prices in Ames, Iowa

Introduction Kaggle.com is a website designed for data scientists and data enthusiasts to connect and compete with each other. It is an open community that hosts

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«smooth» package for R. Common ground. Part II. Estimators

November 20, 2017
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«smooth» package for R. Common ground. Part II. Estimators

A bit about estimates of parameters Hi everyone! Today I want to tell you about parameters estimation of smooth functions. But before going into details, there are several things that I want to note. In this post we will discuss bias, efficiency and consistency of estimates of parameters, so I will use phrases like “efficient

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Dataiku 4.1.0: More support for R users!

November 20, 2017
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Dataiku 4.1.0:  More support for R users!

Introduction Recently, Dataiku 4.1.0 was released, it now offers much more support for R users. But wait a minute, Data-what? I guess some of you do not know Dataiku, so what is Dataiku in the first place? It is a … Continue reading →

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Predict Customer Churn – Logistic Regression, Decision Tree and Random Forest

November 20, 2017
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Predict Customer Churn – Logistic Regression, Decision Tree and Random Forest

Customer churn occurs when customers or subscribers stop doing business with a company or service, also known as customer attrition. It is also referred as loss of clients or customers. One industry in which churn rates are particularly useful is the telecommunications industry, because most customers have multiple options from which to choose within a Related Post Find Your Best...

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Housing Prices in Ames, Iowa: Kaggle’s Advanced Regression Competition

November 20, 2017
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Housing Prices in Ames, Iowa: Kaggle’s Advanced Regression Competition

Introduction Residential real estate prices are fascinating... and frustrating. The homebuyer, the home-seller, the real estate agent, the economist, and the banker are all interested in

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RcppEigen 0.3.3.3.1

November 19, 2017
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A maintenance release 0.3.3.3.1 of RcppEigen is now on CRAN (and will get to Debian soon). It brings Eigen 3.3.* to R. The impetus was a request from CRAN to change the call to Rcpp::Rcpp.plugin.maker() to only use :: as the function has in fact been...

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