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automated-feature-engineering

Here are 13 public repositories matching this topic...

featuretools

alteryx / featuretools

Open

Clean up `EntitySet.add_last_time_indexes` by initializing Woodwork with partial schema

tamargrey commented Jun 4, 2021

Once Woodwork implements this issue, we can clean up the Woodwork initialization in add_last_time_indexes to pass in the previous dataframe's table schema to keep that typing information but also perform inference on the new last time index column.

Read more

good first issue

Open

Support Datetime Feature +/- pd.Timedelta

5

Open

Provide example of many-to-many relationship

4

hibayesian / awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

hyperparameter-optimization automl neural-architecture-search automated-feature-engineering

Updated Jan 3, 2022

guan-yuan / awesome-AutoML-and-Lightweight-Models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

tensorflow pytorch hyperparameter-optimization awesome-list quantization nas automl model-compression neural-architecture-search meta-learning architecture-search quantized-training model-acceleration automated-feature-engineering quantized-neural-network

Updated Jun 19, 2021

cod3licious / autofeat

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

machine-learning linear-regression feature-selection feature-engineering automl automated-machine-learning machine-learning-models automated-data-science automated-feature-engineering

Updated Oct 28, 2021
Jupyter Notebook

deep-fingerprinting / df

The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

deep-neural-networks deep-learning tor website-fingerprinting traffic-analysis deeplearning tor-network cnn-keras cnn-model walkie-talkie privacy-enhancing-technologies cnn-classification automated-feature-engineering wtf-pad

Updated Feb 10, 2022
Python

hengzhe-zhang / EvolutionaryForest

An open source python library for automated feature engineering based on Genetic Programming

data-science machine-learning genetic-programming feature-engineering automl automated-machine-learning automated-feature-engineering

Updated Feb 26, 2022
Jupyter Notebook

giantcroc / featuretoolsOnSpark

A simplified version of featuretools for Spark

python machine-learning spark feature-engineering automl automated-machine-learning automated-feature-engineering featuretools deep-feature-synthesis

Updated Jun 14, 2019
Python

DataCanvasIO / Cooka

A lightweight and visualization AutoML system

data-science machine-learning deep-learning neural-network hyperparameter-optimization automl automated-machine-learning automated-feature-engineering

Updated Dec 27, 2021
Python

Featuretools / predict-household-poverty

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
Jupyter Notebook

DS2BRAIN / ds2ai

The MLOps platform for innovators 🚀

data-science machine-learning deep-neural-networks sdk ai spark deep-learning gpu hyperparameter-optimization machinelearning automl automated-feature-engineering mlops autodl

Updated Aug 28, 2021
Python

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.

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
Jupyter Notebook

YIWEI-CHEN / awesome-automated-machine-learning

A curated list of awesome automated machine learning resources

automl automated-machine-learning neural-architecture-search automated-feature-engineering automated-model-selection automated-deep-learning

Updated Oct 18, 2019

gilaniasher / kaggle-house-regression-challenge

Predicting housing prices in Iowa using Python/Pandas/linear regression within SKLearn.

python machine-learning sklearn pandas kaggle automated-feature-engineering ordinary-least-squares

Updated Jun 3, 2020
Jupyter Notebook

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