alteryx

An open source python library for automated feature engineering

EvalML is an AutoML library written in python.

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

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

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

Build Python performance test suites with Locust and pytest

Woodwork is a Python library that provides robust methods for managing and communicating data typing information.

python library for automated dataset normalization

Predict whether a loan will be repaid using automated feature engineering.

Predict taxi trip duration based on historical trips using automated feature engineering

Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library