ashishpatel26/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
774 stars. No commits in the last 6 months.
Stars
774
Forks
276
Language
Jupyter Notebook
License
—
Category
Last pushed
Jun 29, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ashishpatel26/Amazing-Feature-Engineering"
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.