Alternatives and similar repositories for automated-feature-engineering

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

• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆324Updated 5 years ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆761Updated 4 years ago
• PacktPublishing / Feature-Engineering-Made-Easy
  Feature Engineering Made Easy, published by Packt
  ☆216Updated 2 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 9 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆256Updated 6 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆376Updated 8 years ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆504Updated 2 years ago
• KazukiOnodera / Santander-Customer-Transaction-Prediction
  2nd Place Solution 💰🥈
  ☆163Updated 2 years ago
• 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
• Shitao-zz / Kaggle-House-Prices-Advanced-Regression-Techniques
  Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques
  ☆113Updated 9 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 7 years ago
• patrick201 / information_value
  ☆102Updated 9 years ago
• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆116Updated 3 years ago
• sjvasquez / web-traffic-forecasting
  Kaggle | Web Traffic Forecasting 📈
  ☆667Updated 7 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• IdoZehori / Credit_Score
  data from the kaggle 'give me some credit" competition
  ☆124Updated 9 years ago
• rushter / heamy
  A set of useful tools for competitive data science.
  ☆554Updated 3 years ago
• Ibotta / sk-dist
  Distributed scikit-learn meta-estimators in PySpark
  ☆286Updated 8 months ago
• Speedml / notebooks
  Speedml Python Notebooks
  ☆130Updated 8 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆423Updated last year
• dataworkshop / xgboost
  Tutorial how to use xgboost
  ☆192Updated 9 years ago
• sjvasquez / instacart-basket-prediction
  Kaggle | Instacart Market Basket Analysis🥕🥉
  ☆505Updated 8 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆155Updated 7 years ago
• viisar / brew
  ⛔️ DEPRECATED brew: Python Ensemble Learning API
  ☆303Updated 7 years ago
• msahamed / handle_imabalnce_class
  Address imbalance classes in machine learning projects.
  ☆65Updated 7 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆303Updated 6 years ago
• pratos / flask_api
  Creating a Machine Learning API using Flask - Repository for AV Article
  ☆193Updated 6 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆702Updated 2 months ago