Recent Posts

How to Upgrade to R 4.0.0 on Debian

2 minute read

I recently upgraded R to 4.0.0 on my Debian servers. Except the upgrade didn’t go as planned. I share with you in this article how to do it in a clean way.

How to Upgrade to R 4.0.0 on Debian

How to protect your Shiny app with a Password

15 minute read

We continue the series on ‘How to deploy a Shiny app on AWS’ with this 7th episode where you will learn how to restrict the access to your Shiny app to users with authorized credentials.

How to protect your Shiny app with a Password

Shiny on AWS - Create a Shiny app

4 minute read

This article belongs to the series ‘How to deploy a Shiny app on AWS’. In this first part, we prepare ourselves by creating a simple Shiny app ready to be deployed!

Shiny on AWS - Create a Shiny app

How to Make Beautiful Charts with R and ggplot2

13 minute read

I used to make horrible charts with R. In fact, I thought R charts could only be used in acamedic papers or for quick visualization iterations. That’s not the case. In fact, even the BBC now uses R to craft publication-ready charts. Learn how in this article.

How to Make Beautiful Charts with R and ggplot2

Brave: The browser that respects your privacy

7 minute read

After discovering that Google gives away its users’ data about 347 times a day, I decided to step away from Google ecosystem one step a time. Today: An alternative to Google Chrome that respects your privacy.

Brave: The browser that respects your privacy

Guide to Gradient Descent in 3 Steps and 12 Drawings

8 minute read

Everyone knows about gradient descent. But… Do you really know how it works? Have you already implemented the algorithm by yourself? If you need a reminder, this article explains in simple terms why we need it, how it works, and even show you a Python implementation!

Guide to Gradient Descent in 3 Steps and 12 Drawings

How to Extract and Clean Data From PDF Files in R

10 minute read

R is a powerful tool for text mining. But you still need to get the data first, and it can easily become a pain when you deal with PDF files. This article shows you how to extract what you need and get the data ready for analysis!

How to Extract and Clean Data From PDF Files in R

SaaS startup: How to predict LTV for new users?

8 minute read

If you have a SaaS product, you already know the question: What is the value of my users? How to predict their churn rates? In this article, I explain how a statistician can help you answer these questions for you.

SaaS startup: How to predict LTV for new users?

Linear Algebra for Data Science: Why?

7 minute read

People often ask me what are the math prerequisites for data science. Linear algebra is the most important math topic to know if you want to get into machine learning and predictive analytics! That’s why I’m starting this series on the essential concepts to know. Whether you’re a beginner or someone who needs a refresher, it’s for you!

Linear Algebra for Data Science: Why?