Alternatives and similar repositories for tutorials

Users that are interested in tutorials are comparing it to the libraries listed below

• maks-sh / scikit-uplift
  uplift modeling in scikit-learn style in python
  ☆783Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆696Updated 2 weeks ago
• sberbank-ai-lab / LightAutoML
  LAMA - automatic model creation framework
  ☆926Updated 3 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆762Updated 4 years ago
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,590Updated last month
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,464Updated 3 months ago
• marnikitta / stattests
  Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests
  ☆209Updated 3 years ago
• h2oai / pystacknet
  ☆294Updated 3 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆142Updated 2 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆553Updated 2 years ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆638Updated 2 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆840Updated 7 months ago
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆2,137Updated last month
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆492Updated last month
• kaz-Anova / StackNet
  StackNet is a computational, scalable and analytical Meta modelling framework
  ☆1,331Updated 7 years ago
• aimclub / FEDOT
  Automated modeling and machine learning framework FEDOT
  ☆695Updated last month
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,783Updated this week
• solovyshka / sber_risk_DL
  ☆11Updated 3 years ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,771Updated 5 months ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,237Updated last year
• manifoldai / mf-eng-public
  ☆50Updated 7 years ago
• Alex-Lekov / AutoML_Alex
  State-of-the art Automated Machine Learning python library for Tabular Data
  ☆233Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆501Updated 2 years ago
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆365Updated 5 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆432Updated 7 years ago
• alicezheng / feature-engineering-book
  Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
  ☆1,470Updated 5 years ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,645Updated 5 months ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆859Updated last year