Feature selection package of the mlr3 ecosystem.
Feature selection techniques in machine learning is a process of automatically or manually selecting the subset of most appropriate and relevant features to be used in model building. Here we are taking a machine learning regression problem and shows the different steps in feature selection process
A linear regression model to predict used cars pricing.
A project aimed at predicting variables of interest within the dataset.
Predicting the popularity of a song based off of its audio features using data collected from Spotify
in this section, we will be wrapper feature selection on the diabetes dataset
To associate your repository with the sequential-feature-selection topic, visit your repo's landing page and select "manage topics."