Jgieshoff

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12 Extensions to ggplot2 for More Powerful R Visualizations

Since its introduction in 2007, ggplot2 has become one of the most frequently-downloaded and widely-used R packages in the world. Many …

Data Visualization

Explaining Black-Box Machine Learning Models – Code Part 1: tabular data + caret + iml

iml<p>The iml package combines a number of methods for explaining/interpreting machine learning model, like<p>Feature importance<br>• Partial dependence …

Machine Learning

Benchmarking Feature Selection Algorithms with Xy

(This article was first published on <b>r-bloggers – STATWORX</b>, and kindly contributed to R-bloggers)<p>Feature Selection<p>Feature Selection is one of the most …

Machine Learning

Six Sigma DMAIC Series in R – Part 1

We have written 301 tutorials which have been read 2,664,558 times.<p>Welcome to Six Sigma DMAIC Series. I am launching this series to introduce one of …

Variable Names: Camel Case to Underscore Delimited

(This article was first published on <b>R on datawookie</b>, and kindly contributed to R-bloggers)<p>A project I’m working on has a bunch of different data …

Python Programming

From Data to Viz | Find the graphic you need

(This article was first published on <b>Blog – The R Graph Gallery</b>, and kindly contributed to R-bloggers)<p>I’m delighted to announce a new dataviz project …

Data Visualization

In case you missed it: June 2018 roundup

(This article was first published on <b> Revolutions</b>, and kindly contributed to R-bloggers)In case you missed them, here are some articles from June of …

Data Science

New package packagefinder – Search for packages from the R console

(This article was first published on <b> Topics in R</b>, and kindly contributed to R-bloggers)There are over 12,700 R packages on CRAN. How to find the …

Data Science

Qualitative Data Science: Using RQDA to analyse interviews

(This article was first published on <b>The Devil is in the Data – The Lucid Manager</b>, and kindly contributed to R-bloggers)<p>Qualitative data science …

Data Science

Setting up RStudio Server, Shiny Server and PostgreSQL by @ellis2013nz

(This article was first published on <b>free range statistics - R</b>, and kindly contributed to R-bloggers)<p>Motivation<p>For a variety of reasons I wanted a …

Databases

Database bulk update and inline editing in a Shiny Application

(This article was first published on <b>RBlog – Mango Solutions</b>, and kindly contributed to R-bloggers)<p>There are times when it costs more than it should …

Databases

Code for Workshop: Introduction to Machine Learning with R

(This article was first published on <b> Shirin's playgRound</b>, and kindly contributed to R-bloggers)These are the slides from my workshop: Introduction to …

Machine Learning

Running Python inside the RStudio Server IDE

(This article was first published on <b> Mango Solutions</b>, and kindly contributed to R-bloggers)A great many R users will have to run some python code …

R Language

TensorFlow for R

5.1.6 Building the LSTM model<p>Now that we have our data in the required form, let’s finally build the model. As always in deep learning, an important, …

Deep Learning

TensorFlow Tutorial For Beginners

Deep learning is a subfield of machine learning that is a set of algorithms that is inspired by the structure and function of the brain.<p>TensorFlow is …

Deep Learning

TensorFlow Tutorial For Beginners

<i>Originally published at</i> <i>https://www.datacamp.com/community/tutorials/tensorflow-tutorial</i><p>Deep learning is a subfield of machine learning that is a set …

Deep Learning

8 tips for a great dashboard UI – Muzli -Design Inspiration

The technical age we live in today is evolving each day with various brilliant technologies such as Artificial Intelligence (AI), Business …

UI Design

Top 50 ggplot2 Visualizations - The Master List (With Full R Code)

What type of visualization to use for what sort of problem? This tutorial helps you choose the right type of chart for your specific objectives and …

Data Science

A guide to working with character data in R

(This article was first published on <b> Revolutions</b>, and kindly contributed to R-bloggers)R is primarily a language for working with numbers, but we …

Data Science

Electric Vehicle Outlook 2017

The post Electric Vehicle Outlook 2017 appeared first on Bloomberg New Energy Finance.

Dear data scientists, how to ease your job

(This article was first published on <b> eoda english R news</b>, and kindly contributed to R-bloggers)You have got the best job of the 21st century. Like a …

Deep Learning Made Simple

Teach your app<p>to<p>Teach your app to<p>see emotions.<p>Build, train, and ship custom deep learning<br>models using a simple visual interface.<p>Build, train, and …

Machine Learning

It’s that easy! Image classification with keras in roughly 100 lines of code.

(This article was first published on <b> Shirin's playgRound</b>, and kindly contributed to R-bloggers)I’ve been using keras and TensorFlow for a while now – …

Simple audio classification with Keras

(This article was first published on <b>TensorFlow for R</b>, and kindly contributed to R-bloggers)<p>Introduction<p>In this tutorial we will build a deep learning …

Free 29-part course to learn Machine Learning

Machine Learning is everywhere. Like Mathematics and Computer Science, it is quickly becoming a tool which is widely used to make everything more …

Machine Learning

It’s easier than you think to craft AI tools without typing a line of code

A lot of companies are trying to make it easier to use artificial intelligence, but few are making it as simple as Lobe. The startup, which launched earlier this year, offers users a clean drag-and-drop interface for building deep learning algorithms from scratch. It’s mainly focused on machine …

Machine Learning

Reproducible Analysis With R

9.11 Bonus: Multi-panel plots: Beyond facets<p>Often times, we outgrow the small multiples (facet) paradigm. For example, we might want a line plot and …

Handling Strings with R

Preface<p>This book aims to provide a panoramic perspective of the wide array of string manipulations that you can perform with R. If you are new to R, …

summaryRprof function

Summarise Output of R Sampling Profiler<p>Summarise the output of the Rprof function to show the amount of time used by different R …