Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
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Updated
Jul 3, 2024 - Python
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
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.
Automated creation of EntitySets from relational data stored in SQL databases
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
berserkr converts retailer data and performs machine learning modeling at scale
Classification and Oversampling Algorithms Comparison, using Deep Feature Synthesis and Feature Selection with RFE
Automated approach from feature engineering to modeling on the Kaggle Home Credit Default Risk competition dataset
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.
Predict the poverty of households in Costa Rica using automated feature engineering.
An R interface to the Python module Featuretools
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Exemplary, annotated machine learning pipeline for any tabular data problem.
A simplified version of featuretools for Spark
Kaggle competition
Files and Notebooks for Kaggle Titanic
Automl with Featuretools generate features and use tpot to select model
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