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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.
Recent Posts
The Ultimate Guide to Deploying a Shiny App on AWS
54 minute read
You want to deploy a Shiny application on AWS? In this ultimate guide, I explain step by step how to do so. As a bonus, the guide is downloadable!
useR!2019: Highlights of the R conference of the year
11 minute read
useR!2019 is finished now. Did you miss it? In this article, I show you what happened, what are the highlights, and the good stuff you might have missed!
user! 2019: What to Expect and How to Prepare
8 minute read
Next week is user!2019. What will happen? How to prepare? In this article, I show you my goals and expectations. Three themes: Learn, Discover, and Meet.
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.
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!
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!
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.
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!
