Most popular articles this week
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...
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...
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
Explore your McDonalds Meal with Shiny and D3partitionR
Have you ever wondered what was in your MacDonalds menu? Or in your DoubleCheese Burger (well it's my favorite one)? A wonderful dataset was...
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...
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...
Machine Learning Explained
Machine Learning Explained: Vectorization and matrix operations
Today in Machine Learning Explained, we will tackle a central (yet under-looked) aspect of Machine Learning: vectorization. Let's say you want to compute the...
Machine Learning Explained: Kmeans
Kmeans is one of the most popular and simple algorithm to discover underlying structures in your data. The goal of kmeans is simple, split your...
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...
Data science with python
Machine Learning Explained: Vectorization and matrix operations
Today in Machine Learning Explained, we will tackle a central (yet under-looked) aspect of Machine Learning: vectorization. Let's say you want to compute the...
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...
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...
Data visualisation
Explore your McDonalds Meal with Shiny and D3partitionR
Have you ever wondered what was in your MacDonalds menu? Or in your DoubleCheese Burger (well it's my favorite one)? A wonderful dataset was...
Major update of D3partitionR: Interactive viz’ of nested data with R...
D3partitionR is an R package to visualize interactively nested and hierarchical data using D3.js and HTML widget. These last few weeks I've been working...