parrt / dtreeviz

Related projects: ⓘ

• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,264Updated last year
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,400Updated 5 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,752Updated 2 years ago
• MAIF / shapash
  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
  ☆2,713Updated last week
• feature-engine / feature_engine
  Feature engineering package with sklearn like functionality
  ☆1,854Updated last week
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,740Updated 6 months ago
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,196Updated this week
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,484Updated last month
• nalepae / pandarallel
  A simple and efficient tool to parallelize Pandas operations on all available CPUs
  ☆3,634Updated 2 months ago
• 8080labs / ppscore
  Predictive Power Score (PPS) in Python
  ☆1,097Updated 6 months ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,639Updated 6 months ago
• jmcarpenter2 / swifter
  A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
  ☆2,515Updated 5 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,211Updated this week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,862Updated 2 months ago
• hyperopt / hyperopt-sklearn
  Hyper-parameter optimization for sklearn
  ☆1,580Updated 3 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,379Updated 2 months ago
• csinva / imodels
  Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
  ☆1,362Updated last month
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆840Updated 2 weeks ago
• mljar / mljar-supervised
  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
  ☆3,003Updated last week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,200Updated last month
• oegedijk / explainerdashboard
  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
  ☆2,290Updated 2 months ago
• ResidentMario / missingno
  Missing data visualization module for Python.
  ☆3,896Updated 4 months ago
• koaning / scikit-lego
  Extra blocks for scikit-learn pipelines.
  ☆1,249Updated last week
• TDAmeritrade / stumpy
  STUMPY is a powerful and scalable Python library for modern time series analysis
  ☆3,619Updated this week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,805Updated 3 months ago
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,855Updated 2 months ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,490Updated last year
• MaxHalford / prince
  Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
  ☆1,249Updated last week
• mckinsey / causalnex
  A Python library that helps data scientists to infer causation rather than observing correlation.
  ☆2,211Updated 2 months ago
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,542Updated last week