anujdutt9/Feature-Selection-for-Machine-Learning

Methods with examples for Feature Selection during Pre-processing in Machine Learning.

/ 100

Emerging

364 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 8 / 25

Community 25 / 25

Stars

364

Forks

164

Language

Jupyter Notebook

License

—

Category

Last pushed

May 24, 2020

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/anujdutt9/Feature-Selection-for-Machine-Learning"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

feature-engine/feature_engine

Feature engineering and selection open-source Python library compatible with sklearn.

alteryx/featuretools

An open source python library for automated feature engineering

cod3licious/autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

abess-team/abess

Fast Best-Subset Selection Library

rodrigo-arenas/Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.