featuretools

There are 0 repository under featuretools topic.

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.
feature-engineering categorical-variables best-encoders feature-engg rfe rfecv feature-extraction feature-selection featuretools xgboost
Language:Python 566
alteryx / open_source_demos
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
compose data-science evalml feature-engineering featuretools machine-learning python tutorial
Language:Jupyter Notebook 491
woodwork
alteryx / woodwork
Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
data-science dataframe dataframes evalml featuretools inference machine-learning nlp-primitives python semantic-tags typing woodwork
Language:Python 140
praktiskt / featuretoolsR
An R interface to the Python module Featuretools
rstats featuretools machine-learning feature-engineering r-package
Language:R 49
giantcroc / featuretoolsOnSpark
A simplified version of featuretools for Spark
automated-feature-engineering deep-feature-synthesis automl machine-learning feature-engineering spark python automated-machine-learning featuretools
Language:Python 30
uzaymacar / exemplary-ml-pipeline
Exemplary, annotated machine learning pipeline for any tabular data problem.
machine-learning-pipelines h2o featuretools sklearn data-visualization data-cleaning data-imputation feature-engineering feature-scaling feature-selection feature-encoding modeling
Language:Jupyter Notebook 25
alteryx / predict-household-poverty
Predict the poverty of households in Costa Rica using automated feature engineering.
featuretools machine-learning automated-machine-learning automated-feature-engineering feature-engineering data-science python
Language:Jupyter Notebook 23
Home-Credit-Default-Risk-Recognition
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.
feature-engineering feature-selection binary-classification lightgbm auc-roc-score xgboost featuretools automated-feature-engineering hyperparameter-tuning hyperparameter-optimization bayesian-optimization f1-score auc-roc-curve loan-default-prediction k-fold-cross-validation scikit-learn imbalanced-data udacity-machine-learning-nanodegree hyperopt automl
Language:Jupyter Notebook 17
alteryx / featuretools_sql
Automated creation of EntitySets from relational data stored in SQL databases
automated-feature-engineering automated-machine-learning automl data-science feature-engineering featuretools machine-learning mysql postgres postgresql sql
Language:Python 10
almandsky / easyautoml
Automl with Featuretools generate features and use tpot to select model
automl meachin-learning tpot featuretools feature-engineering model-selection
Language:Python 3
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.
checker compose evalml featuretools python woodwork
Language:Python 3
enesbol / Classification-Algortihms-on-Anonymized-Data
Classification and Oversampling Algorithms Comparison, using Deep Feature Synthesis and Feature Selection with RFE
bayesian-optimization catboost featuretools kfold oversampling-algorithms
Language:Jupyter Notebook 3
ksulima / Automated_Feature_Engineering
Kaggle competition
data-science dask aws-ec2 python feature-engineering featuretools
Language:Jupyter Notebook 1
learningwithmachines / Kaggle-Titanic
Files and Notebooks for Kaggle Titanic
kaggle-titanic scikit-learn tpot pytorch deap genetic-programming featuretools gradient-boosting parallel-python auto-ml
Language:Jupyter Notebook 1
aldente0630 / loan-repayment-prediction
Automated approach from feature engineering to modeling on the Kaggle Home Credit Default Risk competition dataset
featuretools mxnet autogluon
Language:Jupyter Notebook 0
theDeepanshuMourya / Data-Science-Portfolio
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
data-science-portfolio machine-learning python scikit-learn pandas keras featuretools
Language:Jupyter Notebook 0
Thelin90 / berserkr
berserkr converts retailer data and performs machine learning modeling at scale
pandas pyspark featuretools s3 minio
Language:Python