GitHub topics: featuretools
AutoViML/featurewiz
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.
Language: Python - Size: 10.6 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 647 - Forks: 96
alteryx/open_source_demos
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
Language: Jupyter Notebook - Size: 26 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 501 - Forks: 170
alteryx/woodwork
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
Language: Python - Size: 3.2 MB - Last synced at: 5 days ago - Pushed at: 23 days ago - Stars: 153 - Forks: 21
giantcroc/featuretoolsOnSpark
A simplified version of featuretools for Spark
Language: Python - Size: 180 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 31 - Forks: 13
alteryx/alteryx-open-src-update-checker
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for Alteryx open source that automatically checks for the latest updates and warnings you when an Alteryx package is out of date.
Language: Python - Size: 70.3 KB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 4
abhishekdbihani/Home-Credit-Default-Risk-Recognition
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.
Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 10
almandsky/easyautoml
Automl with Featuretools generate features and use tpot to select model
Language: Python - Size: 53.7 KB - Last synced at: 26 days ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 3
alteryx/featuretools_sql
Automated creation of EntitySets from relational data stored in SQL databases
Language: Python - Size: 139 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 0
praktiskt/featuretoolsR
An R interface to the Python module Featuretools
Language: R - Size: 65.4 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 49 - Forks: 8
uzaymacar/exemplary-ml-pipeline
Exemplary, annotated machine learning pipeline for any tabular data problem.
Language: Jupyter Notebook - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 7
enesbol/Classification-Algortihms-on-Anonymized-Data
Classification and Oversampling Algorithms Comparison, using Deep Feature Synthesis and Feature Selection with RFE
Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
Featuretools/predict-household-poverty
Predict the poverty of households in Costa Rica using automated feature engineering.
Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 15
bits-bytes-nn/loan-repayment-prediction
Automated approach from feature engineering to modeling on the Kaggle Home Credit Default Risk competition dataset
Language: Jupyter Notebook - Size: 161 KB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
Thelin90/berserkr
berserkr converts retailer data and performs machine learning modeling at scale
Language: Python - Size: 21.5 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
learningwithmachines/Kaggle-Titanic
Files and Notebooks for Kaggle Titanic
Language: Jupyter Notebook - Size: 33.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 2
