boruta_py

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a si...

sklearn-utilities

Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x predi...

DocumentFeatureSelection

A set of metrics for feature selection from text data

ml-cheatsheet

A constantly updated python machine learning cheatsheet

maxjoshua

Feature selection for hard voting classifier and NN sparse weight initialization.

steps

A SciKit-Learn style feature selector using best subsets and stepwise regression.

ML_for_learner

Implementations of the machine learning algorithm with Python and numpy

Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

tsb-kit

Univariate Time-Series Anomaly Detection algorithms from TSB-UAD

CASS-PROPEL

Complete evaluation of traditional "SK-learn like" machine learning models for post-operative com...

cylon_applications

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

eBoruta

Flexible and transparent Python Boruta implementation

fseval

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data s...