GitHub topics: sequential-feature-selection
mlr-org/mlr3fselect
Feature selection package of the mlr3 ecosystem.
Language: R - Size: 14.1 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 27 - Forks: 4
hugohiraoka/Used_Cars_Price_Prediction
A linear regression model to predict used cars pricing.
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tohid-yousefi/Wrapper_Feature_Selection
in this section, we will be wrapper feature selection on the diabetes dataset
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elshaabigail/Apps-Store-Properties-Prediction
A project aimed at predicting variables of interest within the dataset.
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ahakobia/NFLX-Final-Project
Predicting the popularity of a song based off of its audio features using data collected from Spotify
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pradeepdev-1995/Feature-Selection-Techniques
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
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
