Predicting Olympics medalists

A #TidyTuesday Tidymodels adventure

Posted on July 30, 2021

After a few weeks of hiatus from #TidyTuesday, I am back with 27-July’21 dataset which is about Olympics. In this exercise, I will try to develop a model to predict medalists using a bagged tree model. This post is intended to workflow through a bare-bones model. So, we are not... [Read More]

Tags: Tidyverse R Tidymodels TidyTuesday tutorial

Tidymodels with GLMNet for Kaggle competition

Trying out #Sliced S01E02 datasets

Posted on July 22, 2021

Introduction Lately I have been indulged in learning all things tidymodels in my after office hours. But I was missing something - the effectiveness of my learning journey. Committing to large scale competition was unwieldy but then came #Sliced - a data science problem solving 2-hour sprint with small datasets.... [Read More]

Tags: R Tidyverse Tidymodels tutorial

Tidymodels : Exploring iris

Getting to know modeling the tidy way

Posted on August 3, 2020

Caret has long been the go-to package for machine learning with R. But it was not quite standardized like python counterpart scikit-learn. With tidymodels, this is about to change with caret developer Max Kuhn spearheading the project. In this project, I will run through the iris dataset to showcase the... [Read More]

Tags: Tidymodels R Tidymodels DataExplorer tutorial Analysis

Tidymodels : Exploring iris

Getting to know modeling the tidy way

Posted on August 3, 2020

Caret has long been the go-to package for machine learning with R. But it was not quite standardized like python counterpart scikit-learn. With tidymodels, this is about to change with caret developer Max Kuhn spearheading the project. In this project, I will run through the iris dataset to showcase the... [Read More]

Tags: Tidymodels R Tidymodels DataExplorer tutorial Analysis