Wednesday, September 20, 2017

Most popular articles this week

The R Shiny packages you need for your web apps!

Shiny is an R Package to deploy web apps using an R backend. Let's face it, Shiny is awesome! It brings all the power...

A pick of the best R packages for interactive plots and...

In the first part of A pick of the best R packages for interactive plots and visualizations, we saw the best packages to do interactive...
Plotly example

A pick of the best R packages for interactive plot and...

When it comes to presenting results to a non-technical audience, a good visualization worth hundreds of words. R comes with great abilities in data...

R & R Shiny

The R Shiny packages you need for your web apps!

Shiny is an R Package to deploy web apps using an R backend. Let's face it, Shiny is awesome! It brings all the power...
Buttons in data table

Three R Shiny tricks to make your Shiny app shines (3/3):...

In this tutorials sequence, we are going to see three tricks to do the following in a Shiny app: Add Next and Previous buttons to...
Exemple of semi collapsible sidebar

Three R Shiny tricks to make your Shiny app shines (2/3):...

EDIT: Actually there is a much easier way to do so, by just adding the code below to the UI: tags$script(HTML("$('body').addClass('sidebar-mini');")) Thanks at @_pvictorr for suggesting it! Original...

Machine Learning Explained

ShadowProjection

Machine Learning Explained: Dimensionality Reduction

Dealing with a lot of dimensions can be painful for machine learning algorithms. High dimensionality will increase the computational complexity, increase the risk of...

Machine Learning Explained: supervised learning, unsupervised learning, and reinforcement learning

Machine learning is often split between three main types of learning: supervised learning, unsupervised learning, and reinforcement learning. Knowing the differences between these three types...
L2 Regularization

Machine Learning Explained: Regularization

Welcome to this new post of Machine Learning Explained.After dealing with overfitting, today we will study a way to correct overfitting with regularization. Regularization adds...

Data science with python

Python Basics: Kmeans with Python

The K-means algorithm is one of the basic (yet effective) clustering algorithms. In this tutorial, we will have a quick look at what is...
ROC curve

Python Basics: Logistic regression with Python

Logistic regression is one of the basics of data analysis and statistics. The goal of the regression is to predict an outcome, will I...

Python basics: Recommender systems

In this tutorial, we will be building a very basic Recommendation System using Python. To build a Recommendation System, we will use the Dataset...

Data visualisation

Word cloud concerning Macron

French elections viewed through Twitter: a semantic analysis

The French presidential election has been over for a week with the win of Emmanuel Macron. During the weeks between the two rounds, Twitter...
Mutivariate plot

How to plot more than 2 dimensions ?

With Big data and the growth of data set size, the number of variables and hence the number of dimension is now often far...