Alternatives and similar repositories for feature-engineering-and-feature-selection

Users that are interested in feature-engineering-and-feature-selection are comparing it to the libraries listed below

• ashishpatel26 / Amazing-Feature-Engineering
  Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features…
  ☆761Updated 6 months ago
• WillKoehrsen / feature-selector
  Feature selector is a tool for dimensionality reduction of machine learning datasets
  ☆2,236Updated last year
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆637Updated 2 years ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆680Updated 6 years ago
• feature-engine / feature_engine
  Feature engineering and selection open-source Python library compatible with sklearn.
  ☆2,178Updated this week
• scikit-learn-contrib / boruta_py
  Python implementations of the Boruta all-relevant feature selection method.
  ☆1,613Updated 2 months ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆374Updated 2 years ago
• catboost / tutorials
  CatBoost tutorials repository
  ☆1,090Updated last week
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆338Updated last year
• anujdutt9 / Feature-Selection-for-Machine-Learning
  Methods with examples for Feature Selection during Pre-processing in Machine Learning.
  ☆363Updated 5 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
  ☆1,479Updated 5 years ago
• YC-Coder-Chen / feature-engineering-handbook
  A practical feature engineering handbook
  ☆332Updated 5 years ago
• analyticalmindsltd / smote_variants
  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…
  ☆680Updated 2 years ago
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆728Updated last year
• yzhao062 / combo
  (AAAI' 20) A Python Toolbox for Machine Learning Model Combination
  ☆658Updated 3 years ago
• ZhiningLiu1998 / imbalanced-ensemble
  🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
  ☆408Updated 8 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆584Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆642Updated last year
• Yimeng-Zhang / Rule_Extraction_from_Trees
  A toolkit for extracting comprehensible rules from tree-based algorithms
  ☆43Updated 7 years ago
• scikit-learn-contrib / category_encoders
  A library of sklearn compatible categorical variable encoders
  ☆2,477Updated last week
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆535Updated last week
• jundongl / scikit-feature
  open-source feature selection repository in python
  ☆1,562Updated last year
• cuge1995 / awesome-time-series
  list of papers, code, and other resources
  ☆1,039Updated 5 months ago
• aikho / awesome-feature-engineering
  A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
  ☆599Updated 7 years ago
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆677Updated 10 months ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆618Updated last year
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 6 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆337Updated last year
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆184Updated last year
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆762Updated last year