Web Scraping 101 in Python with Requests & BeautifulSoup
Want to obtain a specific dataset from a website which does not have an API? In this post, I explain how to do this by scraping data using Python, how...continue reading.
Category: R News
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...continue reading.
Microsoft ML Server 9.4 now available
Microsoft Machine Learning Server, the enhanced deployment platform for R and Python applications, has been updated to version 9.4. This update includes the open source R 3.5.2 and Python 3.7.1...continue reading.
Dash has gone full R
This is a reblog from the “Announcing Dash for R” announcement originally published July 10. Dash, the fastest growing framework for building analytic web applications on top of Python models, is...continue reading.
Grades Aren’t Normal
Grades are not Normally distributed. That’s not what’s seen naturally in grades and the idea is not supported by statistics. You can force grades to look Normally distributed, but doing...continue reading.
EARLy bird ticket offer ends tomorrow!
R fans, you have just one more day to get your hands on discounted EARL London 2019 tickets. Our early bird offer gets you £100 off the full price ticket,...continue reading.
useR!2019 Toulouse recap
Conferences like userR & EARL are the R events to attend every year and personally, and as a company, I can’t imagine skipping one. It’s an important place to be...continue reading.
Modeling censored data with tfprobability
In this post we use tfprobability, the R interface to TensorFlow Probability, to model censored data. Again, the exposition is inspired by the treatment of this topic in Richard McElreath’s...continue reading.
numpy exponential
This tutorial will explain how to use the NumPy exponential function, which syntactically is called np.exp. This is a very simple function to understand, but it confuses many people because...continue reading.
Launch of CDSB2019
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
R Weekly 2019-30 SatRDay Paris, Top 40 Packages, golem
Hello and welcome to this new issue! This week’s release was curated by Eric Nantz, with help from the RWeekly team members and contributors. Release Date: 2019-07-29 SatRDay Paris 2019...continue reading.
Two New Testing-themed Addins + One New and One Updated CRAN Package
It’s been yet-another weirdly busy summer but I’m finally catching up on noting some recent-ish developments in the blog. First up is a full rewrite of the {wand} pacakge which...continue reading.
Are all algorithm implementations created equal?
Unfortunately, not all machine learning algorithm implementations are the same, which can have significant impact on data science project success. Too often, a data science project that shows promise in...continue reading.
Search the Bold
Looking for specific episodes of The Bold and The Beautiful? There is a nice python package “holmes-extractor” that builds upon the spacy package. It supports a couple of use cases....continue reading.
CPAT and the Rényi-Type Statistic; End-of-Sample Change Point Detection in R
My second package implements change point testing procedures, especially those for end-of-sample change points. I demonstrate on an example computing a stock’s alpha and beta.continue reading.
Shiny Apps skalieren @DataUniversity2019
Vom 09.-10. Oktober präsentieren wir von STATWORX gemeinsam mit BARC die Data University an der Goethe-Uni in Frankfurt. 2 Tage lang werden wir dort unser geballtes Data Science Wissen in...continue reading.
June 2019 “Top 40” R Packages
Approximately 136 new packages stuck to CRAN in June. (This number is difficult to nail down with certainty because packages may be removed from CRAN after sitting there for a...continue reading.
Gibbs sampling with incompatible conditionals
An interesting question (with no clear motivation) on X validated wondering why a Gibbs sampler produces NAs… Interesting because multi-layered: The attached R code indeed produces NAs because it calls...continue reading.
R Weekly 2019-29 useR! Keynote, modelsummary
Hello and welcome to this new issue! modelsummary – Beautiful, customizable, publication-ready model summaries in R. Watch keynote presentations from the useR!2019 conference Dotplot – useful but largely neglected dataviz...continue reading.
Improve GRNN by Weighting
In the post (https://statcompute.wordpress.com/2019/07/14/yet-another-r-package-for-general-regression-neural-network), several advantages of General Regression Neural Network (GRNN) have been discussed. However, as pointed out by Specht, a major weakness of GRNN is the high computational...continue reading.
