Alternatives and similar repositories for stepwisereg

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

• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆107Updated last year
• talhahascelik / python_stepwiseSelection
  Automated Backward and Forward Selection On Python
  ☆67Updated 5 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆228Updated 7 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆360Updated 4 years ago
• duxuhao / Feature-Selection
  Features selector based on the self selected-algorithm, loss function and validation method
  ☆681Updated 6 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆580Updated 3 years ago
• danielhomola / mifs
  Parallelized Mutual Information based Feature Selection module.
  ☆285Updated 4 years ago
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆420Updated 2 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆331Updated last year
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 3 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆256Updated 6 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆188Updated 6 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆228Updated 4 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆248Updated last year
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆190Updated 9 years ago
• nnikolaou / Cost-sensitive-Boosting-Tutorial
  Tutorial on cost-sensitive boosting and calibrated AdaMEC.
  ☆26Updated 8 years ago
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆230Updated 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
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• kaushalshetty / FeatureSelectionGA
  Feature Selection using Genetic Algorithm (DEAP Framework)
  ☆373Updated 2 years ago
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• aj-cloete / pssa
  Singular Spectrum Analysis for time series forecasting in Python
  ☆147Updated 4 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆216Updated 3 months ago
• PYFTS / pyFTS
  An open source library for Fuzzy Time Series in Python
  ☆276Updated last year
• scikit-learn-contrib / py-earth
  A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
  ☆467Updated 2 years ago
• LenzDu / Kaggle-Competition-Favorita
  5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
  ☆260Updated 7 years ago
• sjvasquez / web-traffic-forecasting
  Kaggle | Web Traffic Forecasting 📈
  ☆666Updated 7 years ago