scikit-feature
Feature selector
A collection of algorithms and tools for selecting the most informative features from datasets in machine learning applications.
open-source feature selection repository in python
2k stars
60 watching
445 forks
Language: Python
last commit: about 2 years agoLinked from 2 awesome lists
academic/awesome-datascience
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 scikit-learn-contrib/boruta_py | An implementation of a feature selection method to identify all relevant features for prediction | 1,529 |
 epistasislab/scikit-rebate | An implementation of Relief-based feature selection algorithms for Machine Learning. | 413 |
 manuel-calzolari/sklearn-genetic | A genetic feature selection tool for machine learning models | 323 |
 craigacp/feast | A software toolbox for feature selection algorithms | 71 |
 djsutherland/skl-groups | Supports operations on sets of features in machine learning | 41 |
 scikit-learn/scikit-learn | A comprehensive Python module for machine learning built on top of SciPy | 60,451 |
 chasedehan/boostaroota | An algorithm for fast feature selection using XGBoost and other tree-based classifiers | 219 |
 jaswinder9051998/zoofs | A Python library that performs feature selection using various nature-inspired optimization algorithms. | 245 |
| scikit-learn-contrib/skope-rules | A Python machine learning module that generates logical rules to predict class labels with high precision | 624 |
 gmonce/scikit-learn-book | Source code and data for a machine learning book with Python tutorials | 393 |
 lacava/few | Automates feature engineering by using genetic programming to select the most useful features for machine learning models. | 51 |
 sebp/scikit-survival | A Python module for analyzing the time to an event in response to certain factors or covariates | 1,148 |
 feature-engine/feature_engine | A Python library with multiple transformers to engineer and select features for use in machine learning models. | 1,956 |
 gaelvaroquaux/scikit-learn-tutorial | A tutorial on applying machine learning to practical situations using the scikit-learn library | 130 |
 nikolaydubina/go-featureprocessing | A Go library for fast and simple feature engineering and machine learning data preprocessing | 121 |