Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R...
Data science jobs continue to grow in 2019, and this report shares the change and spread of jobs by software over recent years.
View ArticleKDnuggets™ News 19:n23, Jun 19: Useful Stats for Data Scientists; Python,...
This week on KDnuggets: 5 Useful Statistics Data Scientists Need to Know; Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS; How to Learn Python for Data...
View ArticleTen random useful things in R that you might not know about
Because the R ecosystem is so rich and constantly growing, people can often miss out on knowing about something that can really help them in a task that they have to complete
View ArticleModelplotr v1.0 now on CRAN: Visualize the Business Value of your Predictive...
Explaining the business value of your predictive models to your business colleagues is a challenging task. Using Modelplotr, an R package, you can easily create stunning visualizations that clearly...
View ArticleHow to Make Stunning 3D Plots for Better Storytelling
3D Plots built in the right way for the right purpose are always stunning. In this article, we’ll see how to make stunning 3D plots with R using ggplot2 and rayshader.
View ArticleThe Evolution of a ggplot
A step-by-step tutorial showing how to turn a default ggplot into an appealing and easily understandable data visualization in R.
View ArticleKaggle Kernels Guide for Beginners: A Step by Step Tutorial
This is an attempt to hold the hands of a complete beginner and walk them through the world of Kaggle Kernels — for them to get started.
View ArticleTen more random useful things in R you may not know about
I had a feeling that R has developed as a language to such a degree that many of us are using it now in completely different ways. This means that there are likely to be numerous tricks, packages,...
View ArticleKDnuggets™ News 19:n29, Aug 7: What 70% of Data Science Learners Do Wrong;...
This week on KDnuggets: What 70% of Data Science Learners Do Wrong; Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree; How a simple mix of object-oriented programming can sharpen...
View ArticleCoding Random Forests® in 100 lines of code*
There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics; however, many algorithms sprout from the most established algorithms, e.g. ordinary least...
View ArticleR Users’ Salaries from the 2019 Stackoverflow Survey
Let’s take a look on what R users are saying about their salaries. Note that the following results could be biased because of unrepresentative and in some cases small samples.
View ArticleKDnuggets™ News 19:n33, Sep 4: Data Science Skills Poll; Object-oriented...
This week: Object-oriented programming for data scientists; Deep Learning Next Step: Transformers and Attention Mechanism; R Users' Salaries from the 2019 Stackoverflow Survey; Types of Bias in Machine...
View ArticleScikit-Learn vs mlr for Machine Learning
How does the scikit-learn machine learning library for Python compare to the mlr package for R? Following along with a machine learning workflow through each approach, and see if you can gain a...
View ArticleCustomer Segmentation for R Users
This article shows you how to separate your customers into distinct groups based on their purchase behavior. For the R enthusiasts out there, I demonstrated what you can do with r/stats, ggradar,...
View ArticleOrchestrating Dynamic Reports in Python and R with Rmd Files
Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you know the right libraries and...
View ArticleKDnuggets™ News 19:n43, Nov 13: Dynamic Reports in Python and R; Creating NLP...
On KDnuggets this week: Orchestrating Dynamic Reports in Python and R with Rmd Files; How to Create a Vocabulary for NLP Tasks in Python; What is Data Science?; The Complete Data Science LinkedIn...
View ArticleHow to Visualize Data in Python (and R)
Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.
View ArticleData Science for Managers: Programming Languages
In this article, we are going to talk about popular languages for Data Science and briefly describe each of them.
View ArticlePlotnine: Python Alternative to ggplot2
Python's plotting libraries such as matplotlib and seaborn does allow the user to create elegant graphics as well, but lack of a standardized syntax for implementing the grammar of graphics compared to...
View ArticleBeginner’s Guide to K-Nearest Neighbors in R: from Zero to Hero
This post presents a pipeline of building a KNN model in R with various measurement metrics.
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