Posts

In today’s blogpost I will look at historical data from the Tour de France. This data was used in the Tidytuesday series back in April, …
17 min read R, tidyverse

Dagens blogginnlegg er skrevet i samarbeid med min dyktige kollega Eivind Kvitstein, en usedvanlig allsidig sørlending som er både …
10 min read R, modelling

Today I will continue looking at Strava data (see my previous post: https://www.andrewaage.com/post/analyzing-strava-data-using-r/). …
5 min read strava, poisson

Today I will look at how to connect to the Strava-API and do some quick analysis on the activity data. To start using the Strava-API, …
4 min read R, tidyverse

In today’s post, I will go through how to get started with solving Kaggle-competitions in R using e.g. xgboost and recipes. The …
7 min read R, xgboost, recipes, tidymodels

A few days ago I returned home after a lovely trip to Toulouse, where I attended the annual useR-conference, which is the largest or …
7 min read

In the following analysis, I will look at how the two favourites of the Tour de France are perceived on Twitter. For those of you who …
5 min read

Hello, This is a follow-up to my first blog post, where I looked at the Bergen bicycle data. Today, I will create a ML-model to predict …
9 min read

Today I will discuss a few common errors in statistical modelling/Machine learning, and how to avoid them. Admittedly, I have done some …
7 min read R

Little is more frustrating then writing code that is mind-numbingly slow, but you have no idea how to fix it, so you just end up …
7 min read R