Feature selection

Author

Olga Dethlefsen

Preface

Aims

to introduce main concepts of feature engineering and selection
and to introduce tidymodels framework for predictive modelling studies

Learning outcomes

to be able to explain and apply common methods behind feature engineering and feature selection
to be able to understand and use regularized regression for feature selection
to be able to use tidymodels framework for a complete workflow of supervised learning

Do you see a mistake or a typo? We would be grateful if you let us know via edu.ml-biostats@nbis.se

This repository contains teaching and learning materials prepared for and used during “Introduction to biostatistics and Machine Learning” course, organized by NBIS, National Bioinformatics Infrastructure Sweden. The course is open for PhD students, postdoctoral researcher and other employees within Swedish universities. The materials are geared towards life scientists wanting to be able to understand and use the basic statistical and machine learning methods. More about the course https://nbisweden.github.io/workshop-mlbiostatistics/