Tuesday, October 23, 2018

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...
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: 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...
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...

Machine Learning Explained

compute time L2

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...
Evolution of centroids position in kmeans

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...
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...

Data science with python

compute time L2

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...
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...

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...