AutoML Libraries for training multiple ML models in one go with less code.

Hyper-parameter optimization for sklearn

This repository provide a bayesian optimization approach to a times series to address categorical variables and optimize it in a batch process.

study of hyperparameter tuning methods

Classification of members & non-members along with statistical verification of significant independent variables

Automated machine learning. Evaluate a battery of binary classification algorithms across feature and hyper-parameter spaces.