abhayspawar / featexpLinks
Feature exploration for supervised learning
☆764Updated 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 vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 4 years ago
- ☆289Updated 3 years ago
- ML-Ensemble – high performance ensemble learning☆856Updated last year
- Python package for stacking (machine learning technique)☆692Updated 9 months ago
- A set of useful tools for competitive data science.☆550Updated 2 years ago
- Automated feature engineering in Python with Featuretools☆518Updated 6 years ago
- ☆873Updated 5 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Updated 3 years ago
- ☆382Updated 8 years ago
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,319Updated 6 years ago
- XGBoost Feature Interactions Reshaped☆429Updated 7 years ago
- python partial dependence plot toolbox☆854Updated 9 months ago
- Hyper-parameter optimization for sklearn☆1,629Updated last month
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆632Updated 2 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆707Updated 4 years ago
- Personal data science and machine learning toolbox☆365Updated 5 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆500Updated last year
- A library of sklearn compatible categorical variable encoders☆2,447Updated 2 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,571Updated 9 months ago
- XGBoost Feature Interactions & Importance☆500Updated 7 years ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆615Updated 2 months ago
- 2nd Place Solution 💰🥈☆163Updated 2 years ago
- scikit-learn compatible projects☆411Updated 2 months ago
- Features selector based on the self selected-algorithm, loss function and validation method☆679Updated 6 years ago
- Uplift modeling package.☆373Updated 2 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,716Updated last week
- MLBox is a powerful Automated Machine Learning python library.☆1,516Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,771Updated last month
- Leave One Feature Out Importance☆835Updated 3 months ago
- Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …☆679Updated 11 months ago