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(Deprecated) Scikit-learn integration package for Apache Spark

databricks

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

LiYangHart

Python library to easily log experiments and parallelize hyperparameter search for neural networks

williamFalcon

Hyperparameter tuning for machine learning models using a distributed genetic algorithm

gmontamat

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

JuliaAI

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

WLOGSolutions

All codes, both created and optimized for best results from the SuperDataScience Course

farhanchoudhary

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

sourcecode369

Spark Parameter Optimization and Tuning

eHarmony

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

romainkp