Monthly Archives: July 2019

Sentiment analysis in R

July 31, 2019
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Sentiment analysis in R

Are you interested in guest posting? Publish at DataScience+ via your editor (i.e., RStudio). Category Getting Data Tags Data Management R Programming Sentiment Analysis There are many ways to perform sentiment analysis in R, including external packages. Most of those common methods are based on dictionary lookups that allow calculating sentiment based on static data. This approach, however, does not measure the relations between words...

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Announcing pdqr

July 31, 2019
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Announcing pdqr

Announcing 'pdqr': package for working with custom distribution functions. Prologue I have been working on ‘pdqr’ package for quite some time now. Initially it was intended only for creating custom distribution functions (analogues of base “p”, “d”, “q”, and “r” functions) from numeric sample. However, after couple of breakthrough ideas, it...

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R package submission REX

July 31, 2019
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R package submission REX

I submitted my first R packages a few weeks ago, and I believe it’s worth sharing some return on experience, as the CRAN submission and acceptance processes are much more tricky than they appear at first glance. Package preparation and bundles we...

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How to reshape a dataframe from wide to long or long to wide format

How to reshape a dataframe from wide to long or long to wide format

Reshaping a dataframe / table from long to wide format or wide to long format is one of the daily tasks a Data Analyst / Data Scientist would be doing. The long format is similar to the tidy format that the tidyverse advocates. Even while, it’s been a very common task - the tidyr package’s solution of using spread()...

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Getting started with Tensorflow, Keras in Python and R

July 31, 2019
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Getting started with Tensorflow, Keras in Python and R

The Pale Blue Dot “From this distant vantage point, the Earth might not seem of any particular interest. But for us, it’s different. Consider again that dot. That’s here, that’s home, that’s us. On it everyone you love, everyone you know, everyone you ever heard of, every human being who ever was, lived out their … Continue reading Getting...

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R, Docker and Checkpoint: A Route to Reproducibility

July 31, 2019
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R, Docker and Checkpoint: A Route to Reproducibility

I need to deploy Shiny on a Windows machine. I also need to use {checkpoint} for package management. Using Docker seems to be the only reasonable approach to Shiny on Windows. But how easy would it be to also factor {checkpoint} into this setup? Only one reasonable way to find out: give it a try. Below is the simple Dockerfile I...

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Find out Bulk Email ID Reputations Risk using R

July 30, 2019
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If you are working in Info Sec / Cyber Security, One of the things that might be part of your day job is to filter email to remove spams / phishing emails. While this could be done at several levels and ways, monitoring the email id (like [email protected]) and validating its reputation to see if it seems risky /...

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mlr3-0.1.0

mlr3-0.1.0

mlr3 - Initial release Background - why a rewrite? The new mlr3 package framework mlr3 at useR!2019 mlr3 - Initial release The mlr-org team is very proud to present the initial release of the mlr3 machine-learning framework for R. mlr3 comes wi...

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Validating Type I and II Errors in A/B Tests in R

July 30, 2019
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Validating Type I and II Errors in A/B Tests in R

In this post, we seek to develop an intuitive sense of what type I (false-positive) and type II (false-negative) errors represent when comparing metrics in A/B tests, in order to gain an appreciation for “peeking”, one of the major problems plaguing the analysis of A/B test today. To better understand what “peeking” is, it helps to first understand how to...

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Modeling Motivation and Emotion using Feedback Loops

July 30, 2019
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Modeling Motivation and Emotion using Feedback Loops

If you’re anything like me, you probably set a lot of goals. Whether it’s to finish a paper by the end of the summer or to spend more time with friends and family, goals are what help motivate us to do something. Goals are also intimately tied to our feelings. You may have had the experience of falling behind...

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