Wednesday, July 26, 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...

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...

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

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...

Machine Learning Explained: Overfitting

Welcome to this new post of Machine Learning Explained.After dealing with bagging, today, we will deal with overfitting. Overfitting is the devil of Machine...

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...