Monthly Archives: March 2017

Multilabel Classification with mlr

March 27, 2017
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Multilabel classification has lately gained growing interest in the research community. We implemented several methods, which make use of the standardized mlr framework. Every available binary learner can be used for multilabel problem transformation methods. So if you’re interested in using several multilabel algorithms and want to know how to use them in the mlr framework, then this post is...

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Le Monde puzzle [#1000…1025]

March 27, 2017
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Le Monde puzzle [#1000…1025]

Le Monde mathematical puzzle launched a competition to celebrate its 1000th puzzle! A fairly long-term competition as it runs over the 25 coming puzzles (and hence weeks). Starting with puzzle #1001. Here is the 1000th puzzle, not part of the competition: Alice & Bob spend five (identical) vouchers in five different shops, each time buying

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Data science languages score highly in RedMonk rankings

March 27, 2017
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Data science languages score highly in RedMonk rankings

Redmonk have once again updated (a little later than usual) their bi-annual programming language report with their January 2017 rankings. If you haven't come across these rankings before, they are based on GitHub contributions and StackOverflow questions related to around 40 commonly-used programming languages. The raw data (as of January 2017) is shown below — as you might guess...

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All-in on R⁴ : Progress [bars] on first post

March 27, 2017
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@eddelbuettel’s idea is a good one. (it’s a quick read…jump there and come back). I often wait for a complete example or new package announcement to blog something when a briefly explained snippet might have sufficient utility for many R users. Also, tweets are fleeting and twitter could end up on the island of misfit... Continue reading...

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How to Reach More People with your Next Data Science Talk

March 27, 2017
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How to Reach More People with your Next Data Science Talk

Speaking publicly about your data science projects is one of the best things you can do for your portfolio. Writing your presentation will help you refine... The post How to Reach More People with your Next Data Science Talk appeared first on AriLamstein.com.

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Data science for Doctors: Inferential Statistics Exercises (part-3)

March 27, 2017
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Data science for Doctors: Inferential Statistics Exercises (part-3)

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related Related exercise sets:

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An Introduction to Stock Market Data Analysis with R (Part 1)

March 27, 2017
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An Introduction to Stock Market Data Analysis with R (Part 1)

This is my first article in a two-part series introducing stock data analysis using R.

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Analyzing Accupedo step count data in R: Part 2 – Adding weather data

March 27, 2017
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Analyzing Accupedo step count data in R: Part 2 – Adding weather data

In my last set of posts, I wrote about analyzing data from the Accupedo step counter app I have on my phone. In this post, I'll talk about some additional analysis I've done by merging the step counter data with weather data from another source.The website www.wunderground.com has freely available weather data available for most parts of the...

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#0: Introducing R^4

March 27, 2017
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So I had been toying with the idea of getting back to the blog and more regularly writing / posting little tips and tricks. I even starting taking some notes but because perfect is always the enemy of the good it never quite materialized. But the rel...

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Introducing brotools

I’m happy to announce my first R package, called brotools. This is a package that contains functions that are specific to my needs but that you might find also useful. I blogged about some of these functions, so if you follow my blog you might already be familiar with some of...

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