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Speeding Up Digital Arachnids

September 25, 2017
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Speeding Up Digital Arachnids

spiderbar, spiderbar Reads robots rules from afar. Crawls the web, any size; Fetches with respect, never lies. Look Out! Here comes the spiderbar. Is it fast? Listen bud, It's got C++ under the hood. Can you scrape, from a site? Test with can_fetch(), TRUE == alright Hey, there There goes the spiderbar. (Check the end... Continue reading →

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eXtremely Boost your machine learning Exercises (Part-1)

September 24, 2017
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eXtremely Boost your machine learning Exercises (Part-1)

eXtreme Gradient Boosting is a machine learning model which became really popular few years ago after winning several Kaggle competitions. It is very powerful algorithm that use an ensemble of weak learners to obtain a strong learner. Its R implementation is available in xgboost package and it is really worth including into anyone’s machine learning Related exercise sets: Model Evaluation...

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RcppGSL 0.3.3

September 24, 2017
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A maintenance update RcppGSL 0.3.3 is now on CRAN. It switched the vignette to the our new pinp package and its two-column pdf default. The RcppGSL package provides an interface from R to the GNU GSL using the Rcpp package. No user-facing new code or...

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RcppCNPy 0.2.7

September 23, 2017
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A new version of the RcppCNPy package arrived on CRAN yesterday. RcppCNPy provides R with read and write access to NumPy files thanks to the cnpy library by Carl Rogers. This version updates internals for function registration, but otherwise mostly s...

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RcppClassic 0.9.8

September 23, 2017
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A bug-fix release RcppClassic 0.9.8 for the very recent 0.9.7 release which fixes a build issue on macOS introduced in 0.9.7. No other changes. Courtesy of CRANberries, there are changes relative to the previous release. Questions, comments etc shoul...

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Upcoming data preparation and modeling article series

September 23, 2017
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Upcoming data preparation and modeling article series

I am pleased to announce that vtreat version 0.6.0 is now available to R users on CRAN. vtreat is an excellent way to prepare data for machine learning, statistical inference, and predictive analytic projects. If you are an R user we strongly suggest you incorporate vtreat into your projects. vtreat handles, in a statistically sound … Continue reading Upcoming...

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Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-9)

September 23, 2017
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Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-9)

Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access Related exercise sets: Hacking statistics...

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How Random Forests improve simple Regression Trees?

September 22, 2017
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How Random Forests improve simple Regression Trees?

By Gabriel Vasconcelos Regression Trees In this post I am going to discuss some features of Regression Trees an Random Forests. Regression Trees are know to be very unstable, in other words, a small change in your data may drastically … Continue reading →

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Welcome to R/exams

September 22, 2017
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Welcome to R/exams

Welcome everybody, we are proud to introduce the brand new web page and blog http://www.R-exams.org/. This provides a central access point for the open-source software “exams” implemented in the R system for statistical computing. R/exams is a one-...

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Big Data Analytics with H20 in R Exercises -Part 1

September 22, 2017
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Big Data Analytics with H20 in R Exercises -Part 1

We have dabbled with RevoScaleR before , In this exercise we will work with H2O , another high performance R library which can handle big data very effectively .It will be a series of exercises with increasing degree of difficulty . So Please do this in sequence . H2O requires you to have Java installed Related exercise sets: Big Data...

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