abhayspawar / featexp

Related projects ⓘ

Alternatives and complementary repositories for featexp

• WillKoehrsen / automated-feature-engineering
  Automated feature engineering in Python with Featuretools
  ☆520Updated 5 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆706Updated 3 years ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆623Updated last year
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆845Updated 2 months ago
• entron / entity-embedding-rossmann
  ☆873Updated 4 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆848Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆686Updated 3 months ago
• h2oai / pystacknet
  ☆286Updated 2 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆552Updated last year
• andosa / treeinterpreter
  ☆744Updated last year
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆426Updated 7 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,588Updated 5 months ago
• parrt / random-forest-importances
  Code to compute permutation and drop-column importances in Python scikit-learn models
  ☆601Updated last month
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,410Updated last month
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆378Updated 2 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆285Updated 7 months ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆672Updated 5 years ago
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,322Updated 6 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆363Updated 4 years ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,500Updated last year
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,512Updated 3 months ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,229Updated 5 months ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆224Updated 5 years ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆498Updated last year
• Far0n / xgbfi
  XGBoost Feature Interactions & Importance
  ☆496Updated 7 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆673Updated 5 months ago
• scikit-learn-contrib / skope-rules
  machine learning with logical rules in Python
  ☆625Updated 9 months ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆408Updated 2 years ago
• Far0n / kaggletils
  ☆382Updated 7 years ago