abhayspawar / featexpLinks
Feature exploration for supervised learning
☆761Updated 4 years ago
Alternatives and similar repositories for featexp
Users that are interested in featexp are comparing it to the libraries listed below
Sorting:
- Automated feature engineering in Python with Featuretools☆520Updated 6 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆707Updated 4 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 5 years ago
- Python package for stacking (machine learning technique)☆700Updated 2 weeks ago
- ML-Ensemble – high performance ensemble learning☆860Updated 2 years ago
- A set of useful tools for competitive data science.☆554Updated 2 years ago
- ☆871Updated 5 years ago
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,330Updated 7 years ago
- ☆296Updated 3 years ago
- XGBoost Feature Interactions Reshaped☆432Updated 8 years ago
- Personal data science and machine learning toolbox☆366Updated 5 years ago
- ☆384Updated 8 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆382Updated 3 years ago
- Hyper-parameter optimization for sklearn☆1,647Updated 7 months ago
- python partial dependence plot toolbox☆861Updated last year
- A library of sklearn compatible categorical variable encoders☆2,467Updated this week
- ☆759Updated 2 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆504Updated 2 years ago
- MLBox is a powerful Automated Machine Learning python library.☆1,522Updated 2 years ago
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,237Updated last year
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆638Updated 2 years ago
- Distributed scikit-learn meta-estimators in PySpark☆286Updated 6 months ago
- XGBoost Feature Interactions & Importance☆502Updated 8 years ago
- ⛔️ DEPRECATED brew: Python Ensemble Learning API☆303Updated 7 years ago
- scikit-learn compatible projects☆410Updated 7 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,595Updated last week
- Code to compute permutation and drop-column importances in Python scikit-learn models☆620Updated 7 months ago
- Features selector based on the self selected-algorithm, loss function and validation method☆681Updated 6 years ago
- Uplift modeling package.☆376Updated 3 years ago
- Code for the Kaggle Ensembling Guide Article on MLWave☆1,598Updated 8 years ago