Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

feature-selection feature-extraction xgboost feature-engineering autoencoders categorical-variables mrmr rfe featuretools rfecv feature-encoding best-encoders feature-engg

• Updated Feb 19, 2025
• Python

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

python data-science machine-learning tutorial compose feature-engineering featuretools evalml

• Updated Aug 7, 2023
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Woodwork is a Python library that provides robust methods for managing and communicating data typing information.

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• Updated Sep 30, 2025
• Python

An R interface to the Python module Featuretools

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• Updated Apr 25, 2020
• R

A simplified version of featuretools for Spark

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• Updated Jun 14, 2019
• Python

Exemplary, annotated machine learning pipeline for any tabular data problem.

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• Updated Aug 30, 2019
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Predict the poverty of households in Costa Rica using automated feature engineering.

python data-science machine-learning feature-engineering automated-machine-learning automated-feature-engineering featuretools

• Updated Jul 1, 2020
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The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.

scikit-learn feature-selection xgboost hyperparameter-optimization lightgbm hyperopt feature-engineering bayesian-optimization hyperparameter-tuning binary-classification imbalanced-data automl loan-default-prediction udacity-machine-learning-nanodegree f1-score automated-feature-engineering featuretools auc-roc-curve auc-roc-score k-fold-cross-validation

• Updated Jul 1, 2020
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Automated creation of EntitySets from relational data stored in SQL databases

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• Updated Nov 2, 2023
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An add-on for Alteryx open source that automatically checks for the latest updates and warnings you when an Alteryx package is out of date.

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• Updated Apr 17, 2023
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Classification and Oversampling Algorithms Comparison, using Deep Feature Synthesis and Feature Selection with RFE

bayesian-optimization catboost featuretools kfold oversampling-algorithms

• Updated Jul 4, 2023
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Automl with Featuretools generate features and use tpot to select model

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• Updated Sep 27, 2018
• Python

Files and Notebooks for Kaggle Titanic

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• Updated Feb 12, 2019
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Kaggle competition

python data-science aws-ec2 dask feature-engineering featuretools

• Updated May 13, 2019
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Automated feature engineering

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• Updated Aug 8, 2025
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MLOps project to predict 30-day hospital readmissions for BPJS patients in Indonesia and includes an interactive dashboard for regional and demographic analysis.

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• Updated Apr 25, 2026
• Python

Automated approach from feature engineering to modeling on the Kaggle Home Credit Default Risk competition dataset

mxnet featuretools autogluon

• Updated Mar 3, 2021
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Olympic medal prediction with automated feature engineering — Featuretools DFS lifts AUC from 0.79 to 0.95 with leakage-safe time-series CV

python machine-learning scikit-learn jupyter-notebook feature-engineering featuretools

• Updated Jul 16, 2026
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Web-based AutoML platform for California housing price prediction with FeatureTools integration

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• Updated Nov 8, 2025
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Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

python machine-learning scikit-learn keras pandas data-science-portfolio featuretools

• Updated Dec 16, 2019
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